Tagged | machine-learning
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Does Your Medical Image Classifier Know What It Doesn’t Know?
(ai.googleblog.com) -
Model-based candidate generation for account recommendations
(blog.twitter.com) -
Natural Language Processing First Steps: How Algorithms Understand Text
(developer.nvidia.com) -
Introducing StylEx: A New Approach for Visual Explanation of Classifiers
(ai.googleblog.com) -
Learning to Route by Task for Efficient Inference
(ai.googleblog.com) -
Scaling Vision with Sparse Mixture of Experts
(ai.googleblog.com) -
A closer look at how LinkedIn integrates fairness into its AI products
(engineering.linkedin.com) -
Building for Balance
(tech.instacart.com)#software-engineering #software-architecture #machine-learning
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Intelligent Automation Platform: Empowering Conversational AI and Beyond at Airbnb
(medium.com) -
A hybrid approach to personalize notification volume
(blog.twitter.com) -
Presentation: Differentiable Programming in Kotlin
(www.infoq.com) -
Article: Developing Deep Learning Systems Using Institutional Incremental Learning
(www.infoq.com) -
Advancing Jupyter Notebooks at Twitter - Part 1
(blog.twitter.com) -
Redesigning Etsy’s Machine Learning Platform
(codeascraft.com) -
NVIDIA AI: Generating Motion Capture Animation Without Hardware or Motion Data
(developer.nvidia.com) -
Interpretable Deep Learning for Time Series Forecasting
(ai.googleblog.com) -
Should It Be Easier to Trust Machines or Harder to Trust Humans?
(galois.com) -
Deep Learning vs Machine Learning Challenger Models for Default Risk with Explainability
(developer.nvidia.com) -
General and Scalable Parallelization for Neural Networks
(ai.googleblog.com) -
Shops on Facebook and Instagram: Understanding relationships between products to improve buyer and seller experience
(research.fb.com) -
Improving Vision Transformer Efficiency and Accuracy by Learning to Tokenize
(ai.googleblog.com) -
Deep Learning Detects Earthquakes at Millimeter-Scale
(developer.nvidia.com) -
Completing a member knowledge graph with Graph Neural Networks
(engineering.linkedin.com) -
RLDS: An Ecosystem to Generate, Share, and Use Datasets in Reinforcement Learning
(ai.googleblog.com) -
MURAL: Multimodal, Multi-task Retrieval Across Languages
(ai.googleblog.com) -
Nextdoor Notifications: How we use ML to keep neighbors informed
(engblog.nextdoor.com) -
Neural edit-tree lemmatization for spaCy
(explosion.ai) -
Talking sense: using machine learning to understand quotes
(www.theguardian.com) -
Predicting Text Selections with Federated Learning
(ai.googleblog.com) -
Predicting Text Readability from Scrolling Interactions
(ai.googleblog.com) -
The Rise (and Lessons Learned) of ML Models to Personalize Content on Home (Part II)
(engineering.atspotify.com)#software-engineering #software-architecture #machine-learning
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Customize Python dependency resolution with machine learning
(developers.redhat.com) -
RLiable: Towards Reliable Evaluation & Reporting in Reinforcement Learning
(ai.googleblog.com) -
The Rise (and Lessons Learned) of ML Models to Personalize Content on Home (Part I)
(engineering.atspotify.com) -
MetNet-2: Deep Learning for 12-Hour Precipitation Forecasting
(ai.googleblog.com) -
SearchSage: Learning Search Query Representations at Pinterest
(medium.com) -
Model Ensembles Are Faster Than You Think
(ai.googleblog.com) -
Improved On-Device ML on Pixel 6, with Neural Architecture Search
(ai.googleblog.com) -
Forecasting SQL query resource usage with machine learning
(blog.twitter.com) -
Self-Supervised Reversibility-Aware Reinforcement Learning
(ai.googleblog.com) -
Running ML Inference Services in Shared Hosting Environments
(engblog.nextdoor.com) -
Grammar Correction as You Type, on Pixel 6
(ai.googleblog.com) -
Deciding Which Tasks Should Train Together in Multi-Task Neural Networks
(ai.googleblog.com) -
Predicting Spreadsheet Formulas from Semi-structured Contexts
(ai.googleblog.com) -
How and why to build your own gradient boosted-tree package
(eng.lyft.com) -
SimVLM: Simple Visual Language Model Pre-training with Weak Supervision
(ai.googleblog.com) -
How Underspecification Presents Challenges for Machine Learning
(ai.googleblog.com) -
An ML-based Framework for COVID-19 Epidemiology
(ai.googleblog.com) -
CAMBI, a banding artifact detector
(netflixtechblog.com) -
Self-Supervised Learning Advances Medical Image Classification
(ai.googleblog.com) -
Decreasing MRI Scan Times Using Deep Learning with NVIDIA Clara AGX
(developer.nvidia.com) -
Finding Complex Metal Oxides for Technology Advancement
(ai.googleblog.com) -
Introducing FLAN: More generalizable Language Models with Instruction Fine-Tuning
(ai.googleblog.com) -
FedJAX: Federated Learning Simulation with JAX
(ai.googleblog.com) -
Improving Generalization in Reinforcement Learning using Policy Similarity Embeddings
(ai.googleblog.com) -
An ML approach to Calculating Expected Value
(engineering.udacity.com) -
Pathdreamer: A World Model for Indoor Navigation
(ai.googleblog.com) -
Revisiting Mask-Head Architectures for Novel Class Instance Segmentation
(ai.googleblog.com) -
Toward Fast and Accurate Neural Networks for Image Recognition
(ai.googleblog.com) -
Music Conditioned 3D Dance Generation with AIST++
(ai.googleblog.com) -
Recommending music to new users
(deezer.io) -
Pinterest Home Feed Unified Lightweight Scoring: A Two-tower Approach
(medium.com) -
Red Means Stop. Green Means Go: A Look into Quality Assessment in Instacart’s Knowledge Graph
(tech.instacart.com) -
A Gentle Introduction to Graph Neural Networks
(distill.pub) -
Understanding Convolutions on Graphs
(distill.pub) -
Using deep learning to detect abusive sequences of member activity
(engineering.linkedin.com) -
Discovering Anomalous Data with Self-Supervised Learning
(ai.googleblog.com) -
Introducing Omnimattes: A New Approach to Matte Generation using Layered Neural Rendering
(ai.googleblog.com) -
Infrastructure Design for Real-time Machine Learning Inference
(databricks.com)#data-pipeline #software-engineering #infra #machine-learning
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Detecting Abnormal Chest X-rays using Deep Learning
(ai.googleblog.com) -
Recreating Natural Voices for People with Speech Impairments
(ai.googleblog.com) -
Giving Virtual Dressing Rooms a Makeover with Computer Vision
(developer.nvidia.com) -
Stitching together spaces for query-based recommendations
(multithreaded.stitchfix.com) -
SoundStream: An End-to-End Neural Audio Codec
(ai.googleblog.com) -
Lambda Learner: Nearline learning on data streams
(engineering.linkedin.com) -
Real-time Einstein Insights Using Kafka Streams
(engineering.salesforce.com)#data-pipeline #software-engineering #software-architecture #machine-learning
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Task-Oriented Conversational AI in Airbnb Customer Support
(medium.com) -
Deciphering Ancient Texts with AI
(developer.nvidia.com) -
Distillation of CLIP model and other experiments
(tech.pic-collage.com) -
When do recommender systems amplify user preferences? A theoretical framework and mitigation strategies
(research.fb.com) -
AI Detects Gravitational Waves Faster than Real Time
(developer.nvidia.com) -
Improved Detection of Elusive Polyps via Machine Learning
(ai.googleblog.com) -
Fighting Spam using Clustering and Automated Rule Creation
(medium.com) -
Article: Benefits of Loosely Coupled Deep Learning Serving
(www.infoq.com) -
A linear programming approach for optimizing features in ML models
(engineering.fb.com) -
Mapping Africa’s Buildings with Satellite Imagery
(ai.googleblog.com) -
Advances in TF-Ranking
(ai.googleblog.com) -
King’s College London Accelerates Synthetic Brain 3D Image Creation Using AI Models Powered by Cambridge-1 Supercomputer
(developer.nvidia.com) -
Protecting Personal Data in Grab's Imagery
(engineering.grab.com) -
Graph Neural Networks as Neural Diffusion PDEs
(blog.twitter.com) -
Presentation: Designing Better ML Systems: Learnings from Netflix
(www.infoq.com) -
Applying Advanced Speech Enhancement in Cochlear Implants
(ai.googleblog.com) -
High-dimensional Bayesian optimization with sparsity-inducing priors
(research.fb.com) -
Multi-task Prediction of Organ Dysfunction in ICUs
(ai.googleblog.com) -
Monitoring ML Models With Model Assertions
(databricks.com) -
Automating root cause analysis for infrastructure systems
(research.fb.com) -
Predicting Protein Structures with Deep Learning
(developer.nvidia.com) -
The machine learning behind delivering relevant ads
(medium.com) -
Achieving FP32 Accuracy for INT8 Inference Using Quantization Aware Training with NVIDIA TensorRT
(developer.nvidia.com) -
High Fidelity Image Generation Using Diffusion Models
(ai.googleblog.com) -
spaCy meets Transformers: Fine-tune BERT, XLNet and GPT-2
(explosion.ai) -
Transforming Brain Waves into Words with AI
(developer.nvidia.com) -
Fully Sharded Data Parallel: faster AI training with fewer GPUs
(engineering.fb.com) -
Speeding Up Reinforcement Learning with a New Physics Simulation Engine
(ai.googleblog.com) -
Feature Engineering at Scale
(databricks.com) -
Analyzing Customer Issues to Improve User Experience
(eng.uber.com) -
Optimizing model accuracy and latency using Bayesian multi-objective neural architecture search
(research.fb.com) -
From Vision to Language: Semi-supervised Learning in Action…at Scale
(ai.googleblog.com) -
Reducing the Computational Cost of Deep Reinforcement Learning Research
(ai.googleblog.com) -
Fighting Disease-Carrying Mosquitoes with Neural Networks
(developer.nvidia.com) -
Model health assurance at LinkedIn
(engineering.linkedin.com) -
Advertiser Recommendation Systems at Pinterest
(medium.com)#software-engineering #software-architecture #machine-learning
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Tuning Model Performance
(eng.uber.com) -
Presentation: Data-driven Development in the Automotive Field
(www.infoq.com) -
Elastic Distributed Training with XGBoost on Ray
(eng.uber.com) -
Helping members connect to opportunity through AI
(engineering.linkedin.com) -
Continuous Integration and Deployment for Machine Learning Online Serving and Models
(eng.uber.com) -
Continuously Improving Recommender Systems for Competitive Advantage Using NVIDIA Merlin and MLOps
(developer.nvidia.com) -
NVIDIA Research: NeRF-Tex: Neural Reflectance Field Textures
(developer.nvidia.com) -
Algo Hour - Step sizes for SGD: Adaptivity and Convergence | Xiaoyu Li
(multithreaded.stitchfix.com) -
Quickly Training Game-Playing Agents with Machine Learning
(ai.googleblog.com) -
Asicmon: A platform agnostic observability system for AI accelerators
(engineering.fb.com) -
Take All Your Pictures to the Cleaners, with Google Photos Noise and Blur Reduction
(ai.googleblog.com) -
Improving Breast Cancer Detection in Ultrasound Imaging Using AI
(developer.nvidia.com) -
Improving Genomic Discovery with Machine Learning
(ai.googleblog.com) -
NVIDIA Research: Learning Modular Scene Representations With Neural Scene Graphs
(developer.nvidia.com) -
Quantum Machine Learning and the Power of Data
(ai.googleblog.com) -
NVIDIA Research: Appearance-Driven Automatic 3D Model Simplification
(developer.nvidia.com) -
NVIDIA Research: Learning and Rendering Dynamic Global Illumination with One Tiny Neural Network in Real-Time
(developer.nvidia.com) -
Applied NLP Thinking: How to Translate Problems into Solutions
(explosion.ai) -
Let It Flow: AI Researchers Create Looping Videos From Still Images
(developer.nvidia.com) -
Enabling GPU Acceleration in Near-Realtime RAN Intelligent Controllers
(developer.nvidia.com) -
Learning an Accurate Physics Simulator via Adversarial Reinforcement Learning
(ai.googleblog.com) -
Text analytics on LinkedIn Talent Insights using Apache Pinot
(engineering.linkedin.com) -
Fusing Elasticsearch with neural networks to identify data
(blog.twitter.com) -
Harnessing second order optimizers from deep learning frameworks
(blog.twitter.com) -
Simple scalable graph neural networks
(blog.twitter.com) -
FRILL: On-Device Speech Representations using TensorFlow-Lite
(ai.googleblog.com) -
The Importance of A/B Testing in Robotics
(ai.googleblog.com) -
NVIDIA Research: Fast Uncertainty Quantification for Deep Object Pose Estimation
(developer.nvidia.com) -
A Deep Dive on Text Classification at Salesforce
(engineering.salesforce.com) -
Using Variational Transformer Networks to Automate Document Layout Design
(ai.googleblog.com) -
Data Cascades in Machine Learning
(ai.googleblog.com) -
Extending Contrastive Learning to the Supervised Setting
(ai.googleblog.com) -
Toward Generalized Sim-to-Real Transfer for Robot Learning
(ai.googleblog.com) -
Using Physics-Informed Deep Learning for Transport in Porous Media
(developer.nvidia.com) -
Homepage feed multi-task learning using TensorFlow
(engineering.linkedin.com) -
A Browsable Petascale Reconstruction of the Human Cortex
(ai.googleblog.com) -
Provably expressive graph neural networks
(blog.twitter.com) -
Presentation: Scaling & Optimizing the Training of Predictive Models
(www.infoq.com) -
How Pinterest Fights Spam Using Machine Learning
(stackshare.io) -
Cross-Modal Contrastive Learning for Text-to-Image Generation
(ai.googleblog.com) -
Understanding Contextual Facial Expressions Across the Globe
(ai.googleblog.com) -
Building a Hyper Self-Service, Distributed Tracing and Feedback System for Rule & Machine Learning (ML) Predictions
(engineering.grab.com)#data-pipeline #infra #machine-learning #scaling #distributed-systems
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KELM: Integrating Knowledge Graphs with Language Model Pre-training Corpora
(ai.googleblog.com) -
Deep Learning Helps Demystify Authorship of a Dead Sea Scroll
(developer.nvidia.com) -
Sharing learnings about our image cropping algorithm
(blog.twitter.com) -
Project Guideline: Enabling Those with Low Vision to Run Independently
(ai.googleblog.com) -
Optimizing payments with machine learning
(dropbox.tech) -
Introducing Orbit, An Open Source Package for Time Series Inference and Forecasting
(eng.uber.com) -
How Pinterest Fights Spam Using Machine Learning
(medium.com) -
Learning to Manipulate Deformable Objects
(ai.googleblog.com) -
Algorithm-Assisted Inventory Curation
(multithreaded.stitchfix.com) -
How image search works at Dropbox
(dropbox.tech) -
ALIGN: Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
(ai.googleblog.com) -
LyftLearn: ML Model Training Infrastructure built on Kubernetes
(eng.lyft.com) -
Moderating Promotional Spam and Inappropriate Content in Photos at Scale at Yelp
(engineeringblog.yelp.com) -
Accelerating Eye Movement Research for Wellness and Accessibility
(ai.googleblog.com) -
Optimal Feature Discovery: Better, Leaner Machine Learning Models Through Information Theory
(eng.uber.com) -
Adversarial Reprogramming of Neural Cellular Automata
(distill.pub) -
Crisscrossed Captions: Semantic Similarity for Images and Text
(ai.googleblog.com) -
Do Wide and Deep Networks Learn the Same Things?
(ai.googleblog.com) -
Flexible, Scalable, Differentiable Simulation of Recommender Systems with RecSim NG
(ai.googleblog.com) -
Fusing Elasticsearch with neural networks to identify data
(blog.twitter.com) -
Model-Based RL for Decentralized Multi-agent Navigation
(ai.googleblog.com) -
Holistic Video Scene Understanding with ViP-DeepLab
(ai.googleblog.com) -
HDR+ with Bracketing on Pixel Phones
(ai.googleblog.com) -
Evolving Reinforcement Learning Algorithms
(ai.googleblog.com) -
How We Improved Agent Chat Efficiency with Machine Learning
(engineering.grab.com)#software-engineering #software-design #software-architecture #machine-learning
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MaX-DeepLab: Dual-Path Transformers for End-to-End Panoptic Segmentation
(ai.googleblog.com) -
Multi-Task Robotic Reinforcement Learning at Scale
(ai.googleblog.com) -
Auto-placement of ad campaigns using multi-armed bandits
(research.fb.com) -
Introducing causal network motifs: A new approach to identifying heterogeneous spillover effects
(research.fb.com) -
Scaling Language Model Training to a Trillion Parameters Using Megatron
(developer.nvidia.com) -
Weight Banding
(distill.pub) -
Building Personalisation at Scale
(lambda.grofers.com) -
Detecting Image Similarity in (Near) Real-time Using Apache Flink
(medium.com)#software-architecture #machine-learning #image-processing #data-engineering
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Conformal Inference of Counterfactuals and Individual Treatment Effects | Lihua Lei
(multithreaded.stitchfix.com) -
Constructing Transformers For Longer Sequences with Sparse Attention Methods
(ai.googleblog.com) -
Recursive Classification: Replacing Rewards with Examples in RL
(ai.googleblog.com) -
Distributed Neural Network Training In Pytorch
(towardsdatascience.com) -
Categorizing Products at Scale
(engineering.shopify.com) -
Detecting explicit content in songs
(deezer.io) -
Applying Machine Learning to…..Yeast?
(ai.googleblog.com) -
Presentation: Machine Learning on Mobile and Edge Devices With TensorFlow Lite
(www.infoq.com) -
Developing NLP for Automated Question Answering
(blog.cloudera.com) -
Broadcom Modernizes Machine Learning and Anomaly Detection with ksqlDB
(www.confluent.io) -
User state-based notification volume optimization
(medium.com) -
Optimizing Multiple Loss Functions with Loss-Conditional Training
(ai.googleblog.com) -
Exploring Evolutionary Meta-Learning in Robotics
(ai.googleblog.com) -
Recommender Systems using LinUCB: A Contextual Multi-Armed Bandit Approach
(towardsdatascience.com) -
Finding the optimal parameters in a RF model using pipes for code reuse
(engineering.hexacta.com) -
Off-Policy Estimation for Infinite-Horizon Reinforcement Learning
(ai.googleblog.com) -
EfficientDet: Towards Scalable and Efficient Object Detection
(ai.googleblog.com) -
Evaluating the Accuracy of My Video Search Engine
(towardsdatascience.com) -
CNN for Reverse Engineering: an Approach for Function Identification
(towardsdatascience.com)#data-science #machine-learning #systems #reverse-engineering
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Reach for the Top: How Spotify Built Shortcuts in Just Six Months
(labs.spotify.com) -
Presentation: The Internet of Things Might Have Less Internet Than We Thought?
(www.infoq.com) -
Rapid experimentation through standardization: Typed AI features for LinkedIn’s feed
(engineering.linkedin.com)#software-engineering #software-architecture #machine-learning #practices
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An Optimistic Perspective on Offline Reinforcement Learning
(ai.googleblog.com) -
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
(ai.googleblog.com) -
Contextual relevance in ads ranking
(medium.com) -
Advancing Self-Supervised and Semi-Supervised Learning with SimCLR
(ai.googleblog.com)#deep-learning #machine-learning #image-processing #research
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The Unfriendly Robot: Automatically flagging unwelcoming comments
(stackoverflow.blog) -
Classifying 4M Reddit posts in 4k subreddits: an end-to-end machine learning pipeline
(towardsdatascience.com) -
Exploring Nature-Inspired Robot Agility
(ai.googleblog.com) -
Cross Validation and Performance Measures in Machine Learning
(towardsdatascience.com) -
Improving Audio Quality in Duo with WaveNetEQ
(ai.googleblog.com)#deep-learning #machine-learning #audio-processing #research
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How Instacart Uses Data Science to Tackle Complex Business Problems
(towardsdatascience.com) -
Scaling Machine Learning
(towardsdatascience.com) -
Google's MediaPipe Machine Learning Framework Web-Enabled with WebAssembly
(www.infoq.com) -
COVID-19 Bert Literature Search Engine
(towardsdatascience.com) -
Labeling Satellite Imagery for Machine Learning
(www.azavea.com) -
A Neural Weather Model for Eight-Hour Precipitation Forecasting
(ai.googleblog.com) -
Building a scalable online product recommender with Keras, Docker, GCP, and GKE
(blog.insightdatascience.com)#data-pipeline #software-architecture #infra #machine-learning #cloud
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A Human-centric Approach for Evaluating Visual Search Models
(tech.ebayinc.com) -
Massively Scaling Reinforcement Learning with SEED RL
(ai.googleblog.com) -
Reducing the Carbon Foot Prints of CNNs at the cost of interactions-Depthwise & Pointwise Conv..
(towardsdatascience.com)#deep-learning #machine-learning #image-processing #research
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Deep Learning based Super Resolution with OpenCV
(towardsdatascience.com) -
Building a Coronavirus Research Literature Search Engine
(towardsdatascience.com)#software-architecture #machine-learning #search #text-analysis
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Visualizing Neural Networks with the Grand Tour
(distill.pub) -
Presentation: From Spark to Elasticsearch and Back - Learning Large-scale Models for Content Recommendation
(www.infoq.com) -
The Visual Complements Model (ViCs): Complementary Product Recommendations From Visual Cues
(tech.wayfair.com) -
Soli Radar-Based Perception and Interaction in Pixel 4
(ai.googleblog.com)#signal-processing #machine-learning #mobile #hardware #research
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The AIgent: Using Google’s BERT Language Model to Connect Writers & Representation
(blog.insightdatascience.com) -
MLOps: not as Boring as it Sounds
(itnext.io)#data-pipeline #software-engineering #infra #machine-learning
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LSTM-FCN for cardiology
(towardsdatascience.com) -
Real-Time 3D Object Detection on Mobile Devices with MediaPipe
(ai.googleblog.com) -
Presentation: Swift for Tensorflow
(www.infoq.com) -
More Efficient NLP Model Pre-training with ELECTRA
(ai.googleblog.com) -
A Scalable Prediction Engine for Automating Structured Data Prep
(towardsdatascience.com)#data-pipeline #data-science #software-engineering #machine-learning
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Presentation: Computational Propaganda - How Algorithms Influence our Decisions
(www.infoq.com) -
Announcing TensorFlow Quantum: An Open Source Library for Quantum Machine Learning
(ai.googleblog.com) -
Machine learning plus more machine learning for travel marketers
(intent.com) -
Presentation: How AI Is Transforming Test Automation
(www.infoq.com) -
Measuring Compositional Generalization
(ai.googleblog.com) -
Under the Hood of Uber ATG’s Machine Learning Infrastructure and Versioning Control Platform for Self-Driving Vehicles
(eng.uber.com)#data-pipeline #software-engineering #infra #machine-learning
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The Evolution of Kit: Automating Marketing Using Machine Learning
(engineering.shopify.com) -
Contextual Topic Identification
(blog.insightdatascience.com)#data-science #machine-learning #NLP #big-data #text-analysis
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Tubi: Scaling Up Machine Experimentation with Scylla and Scala
(www.scylladb.com)#data-pipeline #software-engineering #machine-learning #DBMS
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Toward Human-Centered Design for ML Frameworks
(ai.googleblog.com) -
Program Synthesis in AI
(towardsdatascience.com)#deep-learning #dev-tools #software-engineering #machine-learning
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Deep Transfer Learning for Image Classification
(towardsdatascience.com) -
Setting Fairness Goals with the TensorFlow Constrained Optimization Library
(ai.googleblog.com) -
Analyzing anomalies with ThirdEye
(engineering.linkedin.com) -
There is No Noise — Only Bias
(blog.insightdatascience.com) -
Similarity clustering to catch fraud rings
(stripe.com) -
Building Blip: behind the scenes of our anomaly detection prototype
(blog.fastforwardlabs.com) -
A guide to Collaborative Topic Modeling recommender systems
(towardsdatascience.com) -
First Order Motion Model
(towardsdatascience.com)#deep-learning #data-science #machine-learning #image-processing
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Building an Incremental Recommender System
(towardsdatascience.com) -
Presentation: Breakthroughs and the Future of (Deep) Reinforcement Learning
(www.infoq.com) -
How to build a real-time fraud detection pipeline using Faust and MLFlow
(towardsdatascience.com) -
Essential Suite — Artwork Producer Assistant
(netflixtechblog.com) -
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
(towardsdatascience.com) -
AutoFlip: An Open Source Framework for Intelligent Video Reframing
(ai.googleblog.com) -
Building a Backtesting Service to Measure Model Performance at Uber-scale
(eng.uber.com)#software-engineering #software-architecture #testing #machine-learning
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Machine Learning Driven Sales and Marketing for Everyone with Einstein Behavior Scoring (Part 1)
(engineering.salesforce.com) -
Anomaly Detection — Product of Data Refinery
(tech.ebayinc.com) -
TyDi QA: A Multilingual Question Answering Benchmark
(ai.googleblog.com) -
ML-fairness-gym: A Tool for Exploring Long-Term Impacts of Machine Learning Systems
(ai.googleblog.com) -
How Artificial Neural Networks are Helping Stroke Victims
(towardsdatascience.com) -
Presentation: ML's Hidden Tasks: A Checklist for Developers When Building ML Systems
(www.infoq.com)#data-science #software-engineering #infra #machine-learning
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The Deep Tech Behind Estimating Food Preparation Time
(engineering.zomato.com) -
PyKrylov: Accelerating Machine Learning Research at eBay
(tech.ebayinc.com) -
Diving deeper into Unity-ML Agents
(towardsdatascience.com) -
pakkr™ (Part I), One Pipeline to Rule Them All
(medium.com) -
Modernizing Ads Targeting Machine Learning Pipeline
(engineeringblog.yelp.com) -
Ultron: ML Inferencing Platform @Walmart Labs
(medium.com)#data-science #software-engineering #infra #machine-learning
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Streaming Machine Learning with Tiered Storage and Without a Data Lake
(www.confluent.io)#data-pipeline #machine-learning #distributed-systems #apache-kafka
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Towards a Conversational Agent that Can Chat About…Anything
(ai.googleblog.com) -
Presentation: CI/CD for Machine Learning
(www.infoq.com) -
Privacy-Preserving Machine Learning: A Primer
(blog.fastforwardlabs.com) -
Modelling tabular data with Google’s TabNet
(towardsdatascience.com) -
Releasing the Drosophila Hemibrain Connectome — The Largest Synapse-Resolution Map of Brain Connectivity
(ai.googleblog.com) -
Keeping LinkedIn professional by detecting and removing inappropriate profiles
(engineering.linkedin.com) -
For Your Ears Only: Personalizing Spotify Home with Machine Learning
(labs.spotify.com) -
Reformer: The Efficient Transformer
(ai.googleblog.com) -
Visualizing the Impact of Feature Attribution Baselines
(distill.pub) -
Can You Trust Your Model’s Uncertainty?
(ai.googleblog.com) -
Demystifying ‘black box’ methods of text feature extraction from Rx Data
(medium.com) -
Open Sourcing Manifold, a Visual Debugging Tool for Machine Learning
(eng.uber.com) -
Introducing Flyte: Cloud Native Machine Learning and Data Processing Platform
(eng.lyft.com) -
Presentation: ML in the Browser: Interactive Experiences with Tensorflow.js
(www.infoq.com) -
How to Deploy Real-Time Text-to-Speech Applications on GPUs Using TensorRT
(devblogs.nvidia.com) -
Article: Candy Crush QA AI Saga
(www.infoq.com) -
Simulating Quantum Circuits with Tensor Networks
(towardsdatascience.com) -
Idea Behind LIME and SHAP
(towardsdatascience.com) -
The story behind an Instacart order, part 3: predicting the shop
(tech.instacart.com) -
ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations
(ai.googleblog.com) -
Bias-Variance Tradeoff Explained
(blog.insightdatascience.com) -
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
(eng.uber.com) -
The On-Device Machine Learning Behind Recorder
(ai.googleblog.com) -
How to Build Domain Specific Automatic Speech Recognition Models on GPUs
(devblogs.nvidia.com) -
Improving Out-of-Distribution Detection in Machine Learning Models
(ai.googleblog.com) -
Three Ways to Get Into the “Mind” of a Supervised Machine Learning Model
(www.azavea.com) -
Architecting Restaurant Wait Time Predictions
(engineeringblog.yelp.com) -
The Winding Road to Better Machine Learning Infrastructure Through Tensorflow Extended and Kubeflow
(labs.spotify.com) -
ReCNet: Deep Learning based Cross-class Recommendations at Wayfair
(tech.wayfair.com) -
Under the Hood of eBay Motors: New App Powered By Advanced Technology Like Flutter, ML and BFF
(tech.ebayinc.com) -
Lessons Learned from Developing ML for Healthcare
(ai.googleblog.com)#data-science #machine-learning #image-processing #research #biotech
-
Fairness Indicators: Scalable Infrastructure for Fair ML Systems
(ai.googleblog.com) -
Joint Intent Classification and Entity Recognition for Conversational Commerce
(medium.com) -
Develop Smaller Speech Recognition Models with NVIDIA’s NeMo Framework
(devblogs.nvidia.com) -
Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber
(eng.uber.com) -
Podcast: Josh Wills on Building Resilient Data Engineering and Machine Learning Products at Slack
(www.infoq.com)#software-architecture #machine-learning #scaling #data-engineering
-
AI in browsers: Comparing TensorFlow, ONNX, and WebDNN for image classification
(blog.logrocket.com) -
Understanding Transfer Learning for Medical Imaging
(ai.googleblog.com)#data-science #machine-learning #image-processing #research #biotech
-
DeepSpeech 0.6: Mozilla’s Speech-to-Text Engine Gets Fast, Lean, and Ubiquitous
(hacks.mozilla.org) -
Controlling Text Generation with Plug and Play Language Models
(eng.uber.com) -
Pretraining BERT with Layer-wise Adaptive Learning Rates
(devblogs.nvidia.com) -
Open-Sourcing Metaflow, a Human-Centric Framework for Data Science
(medium.com) -
Managing eBay Vast Service Architecture Using Knowledge Graphs
(www.infoq.com) -
Federated Learning powered by NVIDIA Clara
(devblogs.nvidia.com) -
BERT Does Business: Implementing the BERT Model for Natural Language Processing at Wayfair
(tech.wayfair.com) -
Our Transition to Machine Learning in Search Ranking to Match Customers and Professionals
(engineering.thumbtack.com) -
Powered by AI: Instagram’s Explore recommender system
(instagram-engineering.com) -
Deep Clustering for Financial Market Segmentation
(towardsdatascience.com) -
On Semantic Search
(towardsdatascience.com) -
RecSim: A Configurable Simulation Platform for Recommender Systems
(ai.googleblog.com) -
Illustrated: Self-Attention
(towardsdatascience.com) -
SPICE: Self-Supervised Pitch Estimation
(ai.googleblog.com) -
Understanding product attributes for shoppers
(medium.com) -
Introducing the Next Generation of On-Device Vision Models: MobileNetV3 and MobileNetEdgeTPU
(ai.googleblog.com)#machine-learning #image-processing #mobile #hardware #research
-
Learning to Assemble and to Generalize from Self-Supervised Disassembly
(ai.googleblog.com) -
Understanding Neural Machine Translation: Encoder-Decoder Architecture
(towardsdatascience.com) -
Protect your Deep Neural Network by Embedding Watermarks!
(towardsdatascience.com) -
Dropbox Predicts What File You Need Next With Content-Specific ML Pipelines
(www.infoq.com) -
Fast dimensional analysis for root cause analysis at scale
(engineering.fb.com) -
Credit Card Fraud Detection using Self Organizing FeatureMaps
(towardsdatascience.com) -
Implementing a batch size finder in Fastai : how to get a 4x speedup with better generalization !
(towardsdatascience.com) -
Identifying gaps in OpenStreetMap coverage through machine learning
(towardsdatascience.com) -
Using AI to Automate Web Crawling
(www.semantics3.com) -
Interpretability in ML: Identifying anomalies, influencers, and root causes
(www.elastic.co) -
Computing Receptive Fields of Convolutional Neural Networks
(distill.pub) -
Tuning Neural Networks
(towardsdatascience.com) -
The Concept behind Word Suggestion
(towardsdatascience.com) -
Modeling Uplift Directly: Uplift Decision Tree with KL Divergence and Euclidean Distance as Splitting Criteria
(tech.wayfair.com) -
Animating gAnime with StyleGAN: Part 1
(towardsdatascience.com) -
Guide to File Formats for Machine Learning: Columnar, Training, Inferencing, and the Feature Store
(towardsdatascience.com) -
MOUSE Movement modelling to predict online Fraud
(towardsdatascience.com) -
Using Grab’s Trust Counter Service to Detect Fraud Successfully
(engineering.grab.com)#data-pipeline #software-architecture #machine-learning #analytics
-
The notebook anti-pattern
(towardsdatascience.com) -
Say Hello to Asynchronous Search for PySpark
(towardsdatascience.com) -
UNet Line by Line Explanation
(towardsdatascience.com) -
ML Platform Meetup: Infra for Contextual Bandits and Reinforcement Learning
(medium.com) -
Attention for time series classification and forecasting
(towardsdatascience.com) -
How The New York Times is Experimenting with Recommendation Algorithms
(open.nytimes.com) -
Video Architecture Search
(ai.googleblog.com) -
The Kindness Reminder
(engblog.nextdoor.com) -
Recognizing Depth in Autonomous Driving
(towardsdatascience.com) -
Evolving Michelangelo Model Representation for Flexibility at Scale
(eng.uber.com) -
Categorical Embedding and Transfer Learning
(towardsdatascience.com) -
Understanding Fixup initialization
(towardsdatascience.com) -
Exploring Massively Multilingual, Massive Neural Machine Translation
(ai.googleblog.com) -
Discovering Popular Dishes with Deep Learning
(engineeringblog.yelp.com) -
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
(ai.googleblog.com) -
Federated Learning
(towardsdatascience.com) -
The end to all blurry pictures
(towardsdatascience.com) -
Improving Quantum Computation with Classical Machine Learning
(ai.googleblog.com) -
Lessons for Improving Training Performance — Part 1
(hackernoon.com) -
Using machine learning to predict what file you need next, Part 2
(blogs.dropbox.com)#data-science #software-engineering #software-architecture #machine-learning
-
Automating Weak Supervision
(blog.fastforwardlabs.com) -
Inference Attacks against Machine Learning models
(towardsdatascience.com) -
Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model
(ai.googleblog.com) -
The Paths Perspective on Value Learning
(distill.pub) -
Presentation: A Look at the Methods to Detect and Try to Remove Bias in Machine Learning Models
(www.infoq.com) -
Face recognition and OCR processing of 300 million records from US yearbooks
(medium.com) -
Machine learning and analytics for time series data
(www.oreilly.com) -
DeepLabv3: Semantic Image Segmentation
(towardsdatascience.com) -
Productionizing Machine Learning: From Deployment to Drift Detection
(databricks.com) -
An Inside Look at Flood Forecasting
(ai.googleblog.com) -
Introducing Hypothesis GU Funcs, an Open Source Python Package for Unit Testing
(eng.uber.com) -
Project Ihmehimmeli: Temporal Coding in Spiking Neural Networks
(ai.googleblog.com) -
Making long-term forecasts at Lyft
(eng.lyft.com) -
Learning Cross-Modal Temporal Representations from Unlabeled Videos
(ai.googleblog.com) -
RecoTour II: neural recommendation algorithms
(towardsdatascience.com) -
Three Approaches to Scaling Machine Learning with Uber Seattle Engineering
(eng.uber.com)#software-engineering #machine-learning #scaling #production
-
Machine Learning Powered Content Moderation: Computer Vision Applications at Expedia
(towardsdatascience.com) -
Doing Multivariate Time Series Forecasting with Recurrent Neural Networks
(databricks.com) -
Generate Natural Sounding Speech from Text in Real-Time
(devblogs.nvidia.com) -
Machine Learning For Front-End Developers With Tensorflow.js
(www.smashingmagazine.com) -
Assessing the Quality of Long-Form Synthesized Speech
(ai.googleblog.com) -
Introducing Harmonia: Context-Aware Product Recommendation From Room Images
(tech.wayfair.com) -
Introducing LCA: Loss Change Allocation for Neural Network Training
(eng.uber.com) -
PinText: A Multitask Text Embedding System in Pinterest
(medium.com) -
Presentation: Metrics-driven Machine Learning Development at Salesforce Einstein
(www.infoq.com)#data-pipeline #software-engineering #machine-learning #scaling #production
-
Transfer Learning - from the ground up
(blog.fastforwardlabs.com) -
Presentation: 7 Steps to Design, Build, and Scale an AI Product
(www.infoq.com) -
Transfer Learning from RGB to Multi-band Imagery
(www.azavea.com) -
How graph algorithms improve machine learning
(www.oreilly.com) -
Giving Lens New Reading Capabilities in Google Go
(ai.googleblog.com) -
Presentation: Automating Machine Learning and Deep Learning Workflows
(www.infoq.com)#deep-learning #software-engineering #machine-learning #kubernetes
-
Accelerate with BERT: NLP Optimization Models
(www.toptal.com) -
Exploring Weight Agnostic Neural Networks
(ai.googleblog.com) -
Two approaches for data validation in ML production
(blog.fastforwardlabs.com)#data-science #software-engineering #machine-learning #practices #production
-
Bi-Tempered Logistic Loss for Training Neural Nets with Noisy Data
(ai.googleblog.com) -
CNN Architectures, a Deep-dive
(towardsdatascience.com) -
Building a universal search system for Pinterest
(medium.com) -
Advanced Topics in Neural Networks
(towardsdatascience.com) -
Presentation: Getting Started in Deep Learning with TensorFlow 2.0
(www.infoq.com) -
On-Device, Real-Time Hand Tracking with MediaPipe
(ai.googleblog.com) -
Turbo, An Improved Rainbow Colormap for Visualization
(ai.googleblog.com)#data-science #machine-learning #image-processing #visualisation #research
-
Dynamic Speed Optimization
(towardsdatascience.com) -
Autonomous Driving: Intro into SLAM
(towardsdatascience.com) -
Reverse Image Search with Machine Learning
(techblog.commercetools.com) -
Presentation: Hands-on Feature Engineering for Natural Language Processing
(www.infoq.com) -
Joint Speech Recognition and Speaker Diarization via Sequence Transduction
(ai.googleblog.com) -
Article: Fraud Detection using Random Forest, Neural Autoencoder, and Isolation Forest techniques
(www.infoq.com) -
Project Euphonia’s Personalized Speech Recognition for Non-Standard Speech
(ai.googleblog.com) -
Mapping roads through deep learning and weakly supervised training
(ai.facebook.com)#machine-learning #image-processing #GeoData #research #maps
-
Real-Time Natural Language Understanding with BERT Using TensorRT
(devblogs.nvidia.com) -
The Intuition Behind Facial Detection: The Viola-Jones Algorithm
(towardsdatascience.com) -
Unifying visual embeddings for visual search at Pinterest
(medium.com)#machine-learning #image-processing #search #big-data #research
-
Article: Privacy Attacks on Machine Learning Models
(www.infoq.com)#data-science #machine-learning #security #research #privacy
-
EfficientNet-EdgeTPU: Creating Accelerator-Optimized Neural Networks with AutoML
(ai.googleblog.com) -
Solving Real Problems with Voice Recognition, Machine Learning, and CI/CD
(semaphoreci.com) -
An Interactive, Automated 3D Reconstruction of a Fly Brain
(ai.googleblog.com) -
Code as Craft: Understand the role of Style in e-commerce shopping
(codeascraft.com) -
Using Noisy Labels to Train Deep Learning Models on Satellite Imagery
(www.azavea.com) -
A Comprehensive Guide to Correlational Neural Network with Keras
(towardsdatascience.com) -
Advances in Spam Detection on Tumblr
(engineering.tumblr.com) -
Real-time Recommendation System: Rolling Feature Matrix
(towardsdatascience.com) -
Understanding Pins through keyword extraction
(medium.com) -
Illustrated: 10 CNN Architectures
(towardsdatascience.com) -
Image Panorama Stitching with OpenCV
(towardsdatascience.com) -
Fairness, Privacy, and Transparency by Design in AI/ML Systems
(engineering.linkedin.com) -
Moving from Data-Driven to AI-Driven: The Next Step in the Evolution of Business Workflows
(multithreaded.stitchfix.com) -
ThisEmoteDoesNotExist: Training a GAN for Twitch Emotes
(blog.twitch.tv) -
Major trends in NLP: a review of 20 years of ACL research
(towardsdatascience.com) -
Mapping roads through deep learning and weakly supervised training
(ai.facebook.com) -
Reproducible model training: deep dive
(towardsdatascience.com) -
Introducing EvoGrad: A Lightweight Library for Gradient-Based Evolution
(eng.uber.com) -
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathology
(ai.googleblog.com)#data-science #machine-learning #image-processing #search #biotech
-
Parrotron: New Research into Improving Verbal Communication for People with Speech Impairments
(ai.googleblog.com) -
Give Me Jeans not Shoes: How BERT Helps Us Deliver What Clients Want
(multithreaded.stitchfix.com) -
Random Forests for Store Forecasting at Walmart Scale
(medium.com) -
Presentation: Learning from Machines
(www.infoq.com) -
Introduction to Federated Learning and Privacy Preservation
(towardsdatascience.com)#data-science #software-architecture #machine-learning #privacy
-
Presentation: DeepRacer and DeepLens, Machine Learning for Fun! (and Profit?)
(www.infoq.com) -
Recent Advances in Modern Computer Vision
(towardsdatascience.com) -
Self Attention and Transformers
(towardsdatascience.com) -
Facebook, Carnegie Mellon build first AI that beats pros in 6-player poker
(ai.facebook.com) -
Presentation: Reinforcement Learning: A Gentle Introduction with a Real Application
(www.infoq.com) -
Taking Snorkel for a spin
(blog.fastforwardlabs.com) -
Presentation: Policing the Capital Markets with ML
(www.infoq.com) -
Presentation: Document Digitization: Rethinking OCR with Machine Learning
(www.infoq.com)#deep-learning #machine-learning #image-processing #neural-net
-
Presentation: On a Deep Journey Towards Five Nines
(www.infoq.com) -
This New Google Technique Help Us Understand How Neural Networks are Thinking
(towardsdatascience.com) -
Anomaly detection using Isolation forest
(lambda.grofers.com) -
Catwalk: Serving Machine Learning Models at Scale
(engineering.grab.com)#data-pipeline #software-architecture #machine-learning #scaling #backend
-
Deep Domain Adaptation In Computer Vision
(towardsdatascience.com) -
Presentation: Comparing Machine Learning Strategies using Scikit-learn and TensorFlow
(www.infoq.com) -
Predicting Bus Delays with Machine Learning
(ai.googleblog.com) -
Neural Network Optimization
(towardsdatascience.com) -
Bias Variance Decompositions using XGBoost
(devblogs.nvidia.com) -
Community-Focused Feed Optimization
(engineering.linkedin.com)#data-science #software-architecture #machine-learning #analytics #data-engineering
-
Innovations in Graph Representation Learning
(ai.googleblog.com) -
Gaining Insights in a Simulated Marketplace with Machine Learning at Uber
(eng.uber.com) -
Neural Code Search: ML-based code search using natural language queries
(ai.facebook.com) -
Off-Policy Classification - A New Reinforcement Learning Model Selection Method
(ai.googleblog.com)#data-science #AI #machine-learning #image-processing #research
-
Algorithmic Solutions to Algorithmic Bias: A Technical Guide
(towardsdatascience.com) -
Presentation: Scaling Deep Learning to Petaflops and Beyond!
(www.infoq.com) -
Combating Adversarial Attacks with a Barrage of Random Transforms (BaRT)
(devblogs.nvidia.com) -
Putting Machine Learning Models into Production
(blog.cloudera.com)#data-science #machine-learning #big-data #production #data-engineering
-
A review of BERT based models
(towardsdatascience.com)#data-science #machine-learning #NLP #text-analysis #research
-
Introducing Complete the Look: a scene-based complementary recommendation system
(medium.com) -
Creating the “Superclass”: Improving object detection at Wayfair via product class clustering
(tech.wayfair.com)#data-science #machine-learning #image-processing #statistics
-
Presentation: Machine Learning Engineering - A New Yet Not so New Paradigm
(www.infoq.com)#software-engineering #machine-learning #practices #data-engineering
-
Open-ended Text Generation
(blog.fastforwardlabs.com) -
Rise of the Low-Code ML toolboxes
(blog.fastforwardlabs.com) -
Presentation: Petastorm: A Light-Weight Approach to Building ML Pipelines
(www.infoq.com)#data-pipeline #machine-learning #big-data #data-engineering
-
Presentation: Applying Deep Learning to Airbnb Search
(www.infoq.com)#deep-learning #data-science #machine-learning #search #big-data
-
How the Amazon Go Store Works: A Deep Dive
(towardsdatascience.com) -
Introducing Google Research Football: A Novel Reinforcement Learning Environment
(ai.googleblog.com) -
Modeling the Unseen
(tech.instacart.com) -
Power On: Accelerating Uber’s Self-Driving Vehicle Development with Data
(eng.uber.com) -
Speech Emotion Recognition with Convolution Neural Network
(towardsdatascience.com)#signal-processing #machine-learning #NLP #neural-net #audio-processing
-
Presentation: Practical NLP for the Real World
(www.infoq.com) -
Reinforcement Learning — Multi-Arm Bandit Implementation
(towardsdatascience.com) -
EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling
(ai.googleblog.com) -
Presentation: Instrumentation, Observability & Monitoring of Machine Learning Models
(www.infoq.com) -
Presentation: Michelangelo Palette: A Feature Engineering Platform at Uber
(www.infoq.com)#data-science #machine-learning #distributed-systems #data-engineering
-
Intelligent computing in Snowflake
(towardsdatascience.com) -
Presentation: Privacy: The Last Stand for Fair Algorithms
(www.infoq.com) -
Presentation: Massive Scale Anomaly Detection Framework
(www.infoq.com) -
Function Approximation in Reinforcement Learning
(towardsdatascience.com) -
Meta-Learners - learning how to learn
(blog.fastforwardlabs.com) -
Core Modeling at Instagram
(instagram-engineering.com)#data-science #software-engineering #machine-learning #practices
-
HierTCN: Deep learning models for dynamic recommendations and inferring user interests
(medium.com) -
Accelerating Machine Learning with the Feature Store Service
(technology.condenast.com) -
The Inherent Insecurity in Neural Networks and Machine Learning Based Applications
(towardsdatascience.com) -
The state of 3D object detection
(towardsdatascience.com)#machine-learning #image-processing #algorithms #neural-net #research
-
Presentation: How to Prevent Catastrophic Failure in Production ML Systems
(www.infoq.com) -
Evolving Deep Neural Networks
(towardsdatascience.com) -
Presentation: Productionizing H2O Models with Apache Spark
(www.infoq.com)#data-pipeline #data-science #software-engineering #machine-learning #apache-spark
-
An Intuitive Understanding to Neural Style Transfer
(towardsdatascience.com)#machine-learning #image-processing #neural-net #image-generation
-
Building a Multi-label Text Classifier using BERT and TensorFlow
(towardsdatascience.com) -
How WaveNet Works
(towardsdatascience.com) -
Visualizing Active Learning
(blog.fastforwardlabs.com) -
Introducing RoSE: Wayfair’s Room Style Estimator
(tech.wayfair.com) -
Predicting Stack Overflow Tags with Google’s Cloud AI
(stackoverflow.blog) -
Need for Feature Engineering in Machine Learning
(towardsdatascience.com) -
Accuracy vs Interpretability paradox
(medium.com) -
Hybrid Search: Building a textual and visual discovery experience at Pinterest
(medium.com) -
Analyzing different types of activation functions in neural networks — which one to prefer?
(towardsdatascience.com) -
Deep Learning for Single Cell Biology
(towardsdatascience.com) -
Markov Chains and HMMs
(towardsdatascience.com) -
Using machine learning to predict what file you need next
(blogs.dropbox.com)#data-science #software-engineering #software-design #machine-learning
-
How Natural Language Processing Helps LinkedIn Members Get Support Easily
(engineering.linkedin.com)#data-pipeline #software-architecture #machine-learning #NLP
-
Meaning Representation and SRL: assuming there is some meaning
(towardsdatascience.com) -
Zilic: Detect any disease with machine learning
(towardsdatascience.com)#deep-learning #data-science #machine-learning #image-processing #biotech
-
Presentation: Test-driven Machine Learning
(www.infoq.com) -
Query Segmentation and Spelling Correction
(towardsdatascience.com) -
Under The Hood: Learning With Documents
(engineering.linkedin.com)#data-science #software-engineering #software-architecture #machine-learning
-
Evaluating the Unsupervised Learning of Disentangled Representations
(ai.googleblog.com) -
SpecAugment: A New Data Augmentation Method for Automatic Speech Recognition
(ai.googleblog.com) -
The AI Behind LinkedIn Recruiter Search and Recommendation Systems
(engineering.linkedin.com)#software-engineering #AI #software-architecture #machine-learning
-
What is Geometric Deep Learning?
(towardsdatascience.com) -
Presentation: Data Science for Lazy People, Automated Machine Learning
(www.infoq.com) -
Improving scene understanding through panoptic segmentation
(code.fb.com) -
A Radiologist’s Exploration of the Stanford ML Group’s MRNet data
(towardsdatascience.com) -
Word2vec Made Easy
(towardsdatascience.com) -
Retinal Damage Detection
(towardsdatascience.com) -
Paper Summary. Stiffness: A New Perspective on Generalization in Neural Networks
(towardsdatascience.com) -
How We Detect Anomalies in Our Product Recommendations Metrics
(tech.wayfair.com)#data-science #software-architecture #machine-learning #data-analytics
-
Introducing Conveiro, an open source library for visualizing convolutional neural networks
(tech.showmax.com) -
Using Reinforcement Learning to Design a Better Rocket Engine
(blog.insightdatascience.com) -
Teaching machines to triage Firefox bugs
(hacks.mozilla.org) -
Open Questions about Generative Adversarial Networks
(distill.pub) -
Avro2TF: An Open Source Feature Transformation Engine for TensorFlow
(engineering.linkedin.com) -
An Invitation to Active Learning
(blog.fastforwardlabs.com) -
A Guide to Learning with Limited Labeled Data
(blog.fastforwardlabs.com) -
Building efficient data pipelines using TensorFlow
(towardsdatascience.com) -
Presentation: Fairness, Transparency, and Privacy in AI @LinkedIn
(www.infoq.com) -
Building Pin cohesion
(medium.com)#data-pipeline #machine-learning #image-processing #search #tensor-flow
-
AutoML for Data Augmentation
(blog.insightdatascience.com) -
Illustrated: Efficient Neural Architecture Search
(towardsdatascience.com)#data-science #machine-learning #neural-net #visualisation #research
-
Unifying Physics and Deep Learning with TossingBot
(ai.googleblog.com) -
Presentation: Michelangelo - Machine Learning @Uber
(www.infoq.com)#data-pipeline #data-science #machine-learning #data-engineering
-
PinSage: How Pinterest improved their recommendation system?
(towardsdatascience.com) -
Visualizing memorization in RNNs
(distill.pub)#data-science #machine-learning #neural-net #visualisation #research
-
Simulated Policy Learning in Video Models
(ai.googleblog.com) -
Reducing the Need for Labeled Data in Generative Adversarial Networks
(ai.googleblog.com) -
Presentation: Would You Have Clicked on What We Would Have Recommended?
(www.infoq.com) -
Utilising CNNs to transform your model into a budding artist
(becominghuman.ai) -
Tackling Bias in Machine Learning
(blog.insightdatascience.com) -
Accessible Machine Learning through Data Workflow Management
(eng.uber.com) -
Running Mobilenet on STM32 MCUs at the edge
(towardsdatascience.com) -
State-of-the-art Multilingual Lemmatization
(towardsdatascience.com) -
An Introduction to Meta-Learning
(medium.com) -
Harnessing Organizational Knowledge for Machine Learning
(ai.googleblog.com) -
Machine Learning In The Browser
(blog.fastforwardlabs.com) -
Connectivity Patterns in Deep Neural Networks
(towardsdatascience.com) -
RNN-Based Handwriting Recognition in Gboard
(ai.googleblog.com) -
Real-Time AR Self-Expression with Machine Learning
(ai.googleblog.com) -
Using Machine Learning to Ensure the Capacity Safety of Individual Microservices
(eng.uber.com) -
Productionizing ML with workflows at Twitter
(blog.twitter.com)#software-engineering #software-architecture #machine-learning #big-data #production
-
Learning to Plan with Value Iteration Networks
(towardsdatascience.com) -
Introducing GPipe, an Open Source Library for Efficiently Training Large-scale Neural Network Models
(ai.googleblog.com) -
How Netflix Uses AI and Machine Learning
(becominghuman.ai) -
AutoML for predictive modeling
(tech.showmax.com) -
Introducing Meta Reward Learning
(towardsdatascience.com) -
Presentation: Creating Robust Interpretable NLP Systems with Attention
(www.infoq.com) -
Learning to Generalize from Sparse and Underspecified Rewards
(ai.googleblog.com) -
Introducing Image Search & Price Suggestions
(medium.com) -
AI & Architecture
(towardsdatascience.com) -
Stop the Bots: Practical Lessons in Machine Learning
(blog.cloudflare.com) -
Real-time Finger Detection
(becominghuman.ai) -
AI Safety Needs Social Scientists
(distill.pub) -
Hand Keypoints Detection
(towardsdatascience.com) -
A Hitchhiker’s Guide to Mixture Density Networks
(towardsdatascience.com) -
Complementary Item Recommendations at eBay Scale
(www.ebayinc.com)#data-pipeline #software-architecture #machine-learning #big-data
-
Deep Compression: Optimization Techniques for Inference & Efficiency
(towardsdatascience.com) -
Inference using EM algorithm
(towardsdatascience.com) -
XLM — Enhancing BERT for Cross-lingual Language Model
(towardsdatascience.com) -
Learning Hiring Preferences: The AI Behind LinkedIn Jobs
(engineering.linkedin.com) -
Introduction to Augmented Random Search.
(towardsdatascience.com) -
Machine Learning for Detecting Code Bugs
(towardsdatascience.com) -
Introducing Ludwig, a Code-Free Deep Learning Toolbox
(eng.uber.com) -
Why Financial Planning is Exciting… At Least for a Data Scientist
(eng.uber.com) -
Using NLP to build a search & discovery app for Regulators
(towardsdatascience.com) -
Automating Shop The Look on Pinterest
(medium.com) -
Should You Design Natural Language First APIs?
(nordicapis.com) -
Real-time Continuous Transcription with Live Transcribe
(ai.googleblog.com) -
Cross-lingual pretraining sets new state of the art for natural language understanding
(code.fb.com) -
Machine Learning-Powered Search Ranking of Airbnb Experiences
(medium.com) -
Exploring the Relationship Between Quantum Computers and Machine Learning
(www.infoq.com) -
Massively Scale Your Deep Learning Training with NCCL 2.4
(devblogs.nvidia.com) -
Teaching AI to learn speech the way children do
(code.fb.com) -
Using OpenStreetMap tiles for Machine Learning
(towardsdatascience.com) -
Formatting. With Style.
(blog.sourced.tech) -
Contextualizing Airbnb by Building Knowledge Graph
(medium.com) -
Transformer-XL: Unleashing the Potential of Attention Models
(ai.googleblog.com) -
How Uber Leverages Applied Behavioral Science at Scale
(eng.uber.com) -
Bias-Variance for Deep Reinforcement Learning: How To Build a Bot for Atari with OpenAI Gym
(www.digitalocean.com) -
How Shopify Uses Recommender Systems to Empower Entrepreneurs
(engineering.shopify.com) -
Interactive Visual Search
(www.ebayinc.com)#machine-learning #image-processing #algorithms #search #big-data
-
Introducing Feast
(towardsdatascience.com) -
One Shot Learning with Siamese Networks using Keras
(towardsdatascience.com) -
Expanding the Application of Deep Learning to Electronic Health Records
(ai.googleblog.com) -
Discovering and Classifying In-app Message Intent at Airbnb
(medium.com) -
Presentation: Reasoning About Uncertainty at Scale
(www.infoq.com) -
Machine Learning-Powered Search Ranking of Airbnb Experiences
(medium.com) -
An overview of 2018 language models
(engineering.linecorp.com) -
Trends in AI: NeurIPS 2018
(engineering.linkedin.com) -
Interpretable Machine learning : Part I
(medium.com) -
Introduction to Video Classification
(towardsdatascience.com) -
Keeping It Classy: How Quizlet uses hierarchical classification to label content with academic…
(towardsdatascience.com) -
Zendesk ML Model Building Pipeline on AWS Batch: Monitoring and Load Testing
(medium.com)#data-pipeline #software-architecture #machine-learning #AWS
-
Manifold: A Model-Agnostic Visual Debugging Tool for Machine Learning at Uber
(eng.uber.com) -
PHA Family Highlights: Zen and its cousins
(security.googleblog.com) -
Q-LocalSearch
(towardsdatascience.com) -
Optimizing Neural Networks — Where to Start?
(towardsdatascience.com) -
Creating a Zoo of Atari-Playing Agents to Catalyze the Understanding of Deep Reinforcement Learning
(eng.uber.com) -
POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions through the Paired Open-Ended Trailblazer
(eng.uber.com) -
Presentation: Designing Automated Pipelines for Unseen Custom Data
(www.infoq.com) -
Industrial document classification with Deep Learning
(blog.octo.com) -
Multitask learning in TensorFlow with the Head API
(towardsdatascience.com)#deep-learning #machine-learning #image-processing #tensor-flow
-
Fine-tuning for Natural Language Processing
(blog.fastforwardlabs.com) -
What a text recognition system actually sees
(towardsdatascience.com) -
Scaling Machine Learning Productivity at LinkedIn
(engineering.linkedin.com)#data-science #software-engineering #machine-learning #scaling
-
Understanding how IME (Shapley Values) explains predictions
(towardsdatascience.com) -
Understanding High Dimensional Spaces in Machine Learning
(towardsdatascience.com) -
Make your pictures beautiful with a touch of machine learning magic
(towardsdatascience.com) -
Understanding how LIME explains predictions
(towardsdatascience.com)#data-science #machine-learning #image-processing #algorithms
-
Classify Songs Genres From Audio Data
(towardsdatascience.com) -
Presentation: Nearline Recommendations for Active Communities @LinkedIn
(www.infoq.com) -
Introducing Wav2latter++
(towardsdatascience.com) -
Nevergrad: An open source tool for derivative-free optimization
(code.fb.com) -
Presentation: Human-centric Machine Learning Infrastructure @Netflix
(www.infoq.com) -
Beyond “How May I Help you? “
(medium.com) -
Lessons Learned at Instagram Stories and Feed Machine Learning
(instagram-engineering.com) -
Open-sourcing PyText for faster NLP development
(code.fb.com) -
Using Economic Graph Data to Power the LinkedIn Salary Product
(engineering.linkedin.com) -
Exploring Quantum Neural Networks
(ai.googleblog.com) -
CatBoost Enables Fast Gradient Boosting on Decision Trees Using GPUs
(devblogs.nvidia.com) -
Animated RNN, LSTM and GRU
(towardsdatascience.com) -
Improving the Effectiveness of Diabetic Retinopathy Models
(ai.googleblog.com) -
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
(ai.googleblog.com) -
Providing Gender-Specific Translations in Google Translate
(ai.googleblog.com) -
Faster Neural Networks Straight from JPEG
(eng.uber.com) -
Designing Turbofan Tycoon
(blog.fastforwardlabs.com) -
Predicting real-time availability of 200 million grocery items in US/Canada stores
(tech.instacart.com) -
Explained: GPipe — Training Giant Neural Nets using Pipeline Parallelism
(towardsdatascience.com) -
Presentation: The State of AI Marketing
(www.infoq.com) -
An update on Pixie, Pinterest’s recommendation system
(medium.com) -
Seven Tips for Visual Search at Scale
(www.ebayinc.com) -
How to Get a Better GAN (Almost) for Free: Introducing the Metropolis-Hastings GAN
(eng.uber.com) -
Neural Egg Separation: Training ML systems to extract audio/video from noisy/cluttered environments
(code.fb.com) -
Montezuma’s Revenge Solved by Go-Explore, a New Algorithm for Hard-Exploration Problems (Sets Records on Pitfall, Too)
(eng.uber.com) -
New fastMRI open source AI research tools from Facebook and NYU School of Medicine
(code.fb.com) -
Five Not Well-Known Machine Learning Architectures that will Help You Move from Pilot to Production
(towardsdatascience.com)#software-engineering #software-architecture #machine-learning #production
-
The Public Git Archive Story
(blog.sourced.tech) -
Can Canva use AI to help people design?
(product.canva.com) -
Predictive test selection: A more efficient way to ensure reliability of code changes
(code.fb.com) -
Toward a deeper understanding of the way AI agents see things
(code.fb.com) -
Interpretable Neural Networks
(towardsdatascience.com) -
A General Approach for Using 2D Object Detection for Facial ID
(towardsdatascience.com) -
Using Apache Kafka to Drive Cutting-Edge Machine Learning
(www.confluent.io)#data-pipeline #software-architecture #machine-learning #backend #systems
-
Improved Grading of Prostate Cancer Using Deep Learning
(ai.googleblog.com)#deep-learning #machine-learning #image-processing #classifier
-
Combating Potentially Harmful Applications with Machine Learning at Google: Datasets and Models
(android-developers.googleblog.com) -
Presentation: Big Data and Deep Learning: A Tale of Two Systems
(www.infoq.com) -
Real-time context based smart type-ahead suggestions
(medium.com)#software-architecture #machine-learning #search #NLP #real-time
-
A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
(towardsdatascience.com) -
Doing Machine Learning the Uber Way: Five Lessons From the First Three Years of Michelangelo
(towardsdatascience.com)#data-science #software-engineering #machine-learning #visualisation
-
Federated learning: distributed machine learning with data locality and privacy
(blog.fastforwardlabs.com)#software-architecture #machine-learning #distributed-systems #privacy
-
Inferring Label Hierarchies with hLDA
(medium.com) -
Accurate Online Speaker Diarization with Supervised Learning
(ai.googleblog.com) -
Your Client Engagement Program Isn't Doing What You Think It Is.
(multithreaded.stitchfix.com) -
BERT Explained: State of the art language model for NLP
(towardsdatascience.com) -
How we use AWS Batch at Zendesk to Build All The Machine Learning Models
(medium.com) -
Empowering personalized marketing with machine learning
(eng.lyft.com) -
Applying Deep Learning To Airbnb Search
(medium.com) -
Zero-shot learning: Using text to more accurately identify images
(code.fb.com) -
ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations
(www.ebayinc.com) -
Deep (Double) Q-Learning
(towardsdatascience.com) -
Using AI to help people with visual impairments share images on Facebook
(research.fb.com) -
Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing
(ai.googleblog.com) -
Horizon: The first open source reinforcement learning platform for large-scale products and services
(code.fb.com) -
Scaling Machine Learning at Uber with Michelangelo
(eng.uber.com)#data-science #software-architecture #machine-learning #scaling
-
Facebook Research at EMNLP
(research.fb.com) -
How Does This Article Make You Feel?
(open.nytimes.com) -
Google at EMNLP 2018
(ai.googleblog.com) -
Introducing AdaNet: Fast and Flexible AutoML with Learning Guarantees
(ai.googleblog.com) -
ATM Fraud Detection with Apache Kafka and KSQL
(www.confluent.io) -
Decoded Entity Embeddings of Categorical Variables in Neural Networks
(towardsdatascience.com) -
Presentation: Implementing AutoML Techniques at Salesforce Scale
(www.infoq.com) -
Acoustic Detection of Humpback Whales Using a Convolutional Neural Network
(ai.googleblog.com) -
Uber Introduces PyML: Their Secret Weapon for Rapid Machine Learning Development
(towardsdatascience.com) -
Facebook, NYU expand available languages for natural language understanding systems
(code.fb.com) -
Demystifying Convolutional Neural Networks
(towardsdatascience.com) -
Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model Development
(eng.uber.com) -
Curiosity and Procrastination in Reinforcement Learning
(ai.googleblog.com) -
Learning neural network architectures
(towardsdatascience.com) -
Significantly faster generation and training for AI-based audio systems
(code.fb.com) -
Siamese Networks and Stuart Weitzman Boots
(towardsdatascience.com) -
How We Use Machine Learning and Natural Language Processing to Empower Search
(tech.wayfair.com) -
Vectorization Implementation in Machine Learning
(towardsdatascience.com) -
Open Sourcing Active Question Reformulation with Reinforcement Learning
(ai.googleblog.com) -
Using LDA to Build a Missing Yelp Feature
(towardsdatascience.com) -
Using machine learning to index text from billions of images
(blogs.dropbox.com) -
Paper review: “Learning to Represent Programs with Graphs”
(blog.sourced.tech) -
An Introduction to AI at LinkedIn
(engineering.linkedin.com) -
Review: DeconvNet — Unpooling Layer (Semantic Segmentation)
(towardsdatascience.com) -
Speaker Diarization — The Squad Way
(hackernoon.com) -
The 4 Convolutional Neural Network Models That Can Classify Your Fashion Images
(towardsdatascience.com)#deep-learning #machine-learning #image-processing #neural-net
-
Mouse Cursor Control Using Facial Movements — An HCI Application
(towardsdatascience.com) -
Review: FCN (Semantic Segmentation)
(towardsdatascience.com) -
Machine Learning for Cybersecurity 101
(towardsdatascience.com) -
Under the hood: Facebook Marketplace powered by artificial intelligence
(code.fb.com) -
Beyond DQN/A3C: A Survey in Advanced Reinforcement Learning
(towardsdatascience.com) -
Why Can a Machine Beat Mario but not Pokemon?
(towardsdatascience.com) -
Four Pitfalls of Sentiment Analysis Accuracy
(www.toptal.com) -
DeepGL on Neo4j
(towardsdatascience.com) -
Improving Driver Communication through One-Click Chat, Uber’s Smart Reply System
(eng.uber.com) -
Speech Classification Using Neural Networks: The Basics
(towardsdatascience.com) -
Presentation: Teaching a Machine to Code
(www.infoq.com) -
Illustrated Guide to LSTM’s and GRU’s: A step by step explanation
(towardsdatascience.com) -
Semantic Segmentation with Deep Learning: A guide and code
(towardsdatascience.com) -
Using Machine Learning to Auto Detect Column Types in Customer Files
(liveramp.com) -
Review: Faster R-CNN (Object Detection)
(towardsdatascience.com) -
Efficient tuning of online systems using Bayesian optimization
(research.fb.com) -
Embeddings@Twitter
(blog.twitter.com) -
The What-If Tool: Code-Free Probing of Machine Learning Models
(ai.googleblog.com) -
Content-Based Recommender for NYT Articles
(towardsdatascience.com) -
Rosetta: Understanding text in images and videos with machine learning
(code.fb.com) -
Expanding automatic machine translation to more languages
(code.fb.com) -
Food Discovery with Uber Eats: Recommending for the Marketplace
(ubereng.wpengine.com) -
Scaling neural machine translation to bigger data sets with faster training and inference
(code.fb.com) -
How to Generate Images using Autoencoders
(towardsdatascience.com) -
Forecasting at Uber: An Introduction
(ubereng.wpengine.com) -
Visual Creation and Exploration at Zalando Research
(jobs.zalando.com) -
Google Feed Personalization and Recommender Systems
(getstream.io) -
The Future with Reinforcement Learning
(towardsdatascience.com) -
Presentation: Rethinking HCI with Neural Interfaces @CTRLlabsco
(www.infoq.com) -
TensorFlow.js: Machine Learning in the Browser for Image Recognition
(blog.scottlogic.com) -
Scaling Knowledge Access and Retrieval at Airbnb
(medium.com) -
Recurrent Neural Networks: The Powerhouse of Language Modeling
(towardsdatascience.com) -
Unsupervised machine translation: A novel approach to provide fast, accurate translations for more languages
(code.fb.com) -
Experiences building a newsfeed out of twitter streams
(hackernoon.com) -
Introduction to Fuzzy Logic and its Application to Text Summarization
(becominghuman.ai) -
Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research
(ai.googleblog.com) -
Generating Music: when simple probabilities outperform neural networks
(towardsdatascience.com) -
Presentation: Engineering Systems for Real-time Predictions @DoorDash
(www.infoq.com) -
Building Machine Learning Engineering Tools
(towardsdatascience.com)#dev-tools #data-science #software-engineering #machine-learning
-
Perceptron Learning Algorithm: A Graphical Explanation Of Why It Works
(towardsdatascience.com) -
Presentation: ML Data Pipelines for Real-time Fraud Prevention @PayPal
(www.infoq.com) -
Uncertainty for CTR Prediction: One Model to Clarify Them All
(towardsdatascience.com) -
Schooling Flappy Bird: A Reinforcement Learning Tutorial
(www.toptal.com) -
Airbnb Engineering and Data Science at KDD 2018
(medium.com) -
Facebook and NYU School of Medicine launch research collaboration to improve MRI
(code.fb.com) -
Facebook Research at KDD 2018
(research.fb.com) -
Machine learning for production optimization
(towardsdatascience.com) -
Introduction to Word Embeddings
(towardsdatascience.com) -
Moving Beyond Translation with the Universal Transformer
(ai.googleblog.com) -
FEDERATED MACHINE LEARNING
(towardsdatascience.com)#software-architecture #machine-learning #distributed-systems
-
The Dawn of Zendesk’s Machine Learning Model Building Platform with AWS Batch
(medium.com)#data-pipeline #software-architecture #infra #machine-learning
-
The Machine Learning Behind Android Smart Linkify
(ai.googleblog.com) -
MnasNet: Towards Automating the Design of Mobile Machine Learning Models
(ai.googleblog.com) -
Progress in machine learning interpretability
(blog.fastforwardlabs.com) -
New Dynamics for Topic Models
(blog.fastforwardlabs.com) -
What Does A Face Detection Neural Network Look Like?
(towardsdatascience.com) -
Combining LinkedIn’s Content Filtering and Microsoft Cognitive Services to Keep Inappropriate Content Off Our Sites
(engineering.linkedin.com) -
Article: Understanding Software System Behaviour With ML and Time Series Data
(www.infoq.com) -
Machine Learning in Google BigQuery
(ai.googleblog.com) -
New Research on Multi-Task Learning
(blog.fastforwardlabs.com) -
Fingerprinting fraudulent behavior
(eng.lyft.com) -
A Look at Android ML Kit - the Machine Learning SDK
(auth0.com) -
Understanding Word Embeddings
(hackernoon.com) -
Robust Factorization Machines
(medium.com) -
MLflow: A platform for managing the machine learning lifecycle
(www.oreilly.com)#data-science #software-engineering #machine-learning #production
-
How to Approach Machine Learning Problems
(www.toptal.com) -
What exactly does CNN see?
(becominghuman.ai) -
Improving Connectomics by an Order of Magnitude
(ai.googleblog.com) -
Understanding model predictions with LIME
(towardsdatascience.com) -
How to improve your image classifier with Google's AutoAugment
(towardsdatascience.com) -
Learning to perform linear filtering using natural image data
(towardsdatascience.com) -
Beam Search Decoding in CTC-trained Neural Networks
(towardsdatascience.com) -
Gefilter Fish: Finding concise topics from Amazon’s customer reviews
(blog.insightdatascience.com) -
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
(eng.uber.com) -
Feature-wise transformations
(distill.pub) -
How YouTube Recommends Videos
(towardsdatascience.com) -
Locality Sensitive Hashing for Similar Item Search
(towardsdatascience.com) -
FastText: Under the Hood
(towardsdatascience.com) -
A Deep Dive into Reinforcement Learning
(www.toptal.com) -
Information Retrieval and Machine Learning at Wayfair
(tech.wayfair.com) -
Transforming Financial Forecasting with Data Science and Machine Learning at Uber
(eng.uber.com) -
Introduction to Model Trees
(towardsdatascience.com) -
Understanding Latent Style
(multithreaded.stitchfix.com) -
How to use Machine Learning and Quilt to Identify Buildings in Satellite Images
(blog.insightdatascience.com) -
Dynamic Machine Translation in the LinkedIn Feed
(engineering.linkedin.com) -
Scalable Deep Reinforcement Learning for Robotic Manipulation
(ai.googleblog.com) -
Spiral: Self-tuning services via real-time machine learning
(code.fb.com) -
Self-Supervised Tracking via Video Colorization
(ai.googleblog.com) -
GUI-fying the Machine Learning Workflow: Towards Rapid Discovery of Viable Pipelines
(towardsdatascience.com) -
Introduction to Sequence Models — RNN, Bidirectional RNN, LSTM, GRU
(towardsdatascience.com) -
Supercharging Classification - The Value of Multi-task Learning
(blog.fastforwardlabs.com) -
Neural Machine Translation with Python
(towardsdatascience.com) -
Productionizing ML with Workflows at Twitter
(blog.twitter.com)#data-pipeline #software-architecture #machine-learning #big-data
-
An Intuitive Explanation of Connectionist Temporal Classification
(towardsdatascience.com) -
Fantastic Models and how to Train Them
(towardsdatascience.com) -
Translating music to predict a musician’s body movements
(research.fb.com) -
Cats to crazy quilts: Using style transfer to generate adversarial examples
(hackernoon.com) -
Presentation: Simplifying ML Workflows with Apache Beam
(www.infoq.com) -
RNN or Recurrent Neural Network for Noobs
(hackernoon.com) -
Veracity: Models, Methods, and Morals
(www.forge.ai) -
Turning Fortnite into PUBG with Deep Learning (CycleGAN)
(towardsdatascience.com) -
TensorRT 4 Accelerates Neural Machine Translation, Recommenders, and Speech
(devblogs.nvidia.com) -
AutoEncoders and Parallel Computing with KernelML
(towardsdatascience.com) -
Advanced Technologies for Detecting and Preventing Fraud at Uber
(eng.uber.com) -
Twitter meets TensorFlow
(blog.twitter.com) -
How Trip Inferences and Machine Learning Optimize Delivery Times on Uber Eats
(eng.uber.com) -
Presentation: Understanding Software System Behavior With ML and Time Series Data
(www.infoq.com) -
Taming the Beast: How Scylla Leverages Control Theory to Keep Compactions Under Control
(www.scylladb.com) -
Presentation: Analyzing & Preventing Unconscious Bias in Machine Learning
(www.infoq.com) -
Travel Time Optimization With Machine Learning And Genetic Algorithm
(towardsdatascience.com) -
Presentation: Models in Minutes not Months: AI as Microservices
(www.infoq.com) -
DeepMind’s Amazing Mix & Match RL Technique
(hackernoon.com) -
Accelerating Large-Scale Object Detection with TensorRT
(devblogs.nvidia.com) -
Reinforcement Learning from scratch
(blog.insightdatascience.com) -
Lessons learned turning machine learning models into real products and services
(www.oreilly.com) -
Introduction to Clinical Natural Language Processing: Predicting Hospital Readmission with…
(towardsdatascience.com) -
Bringing Artificial Intelligence to the Edge
(software.intel.com) -
Improving Deep Learning Performance with AutoAugment
(ai.googleblog.com) -
How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning
(towardsdatascience.com) -
Using NLP to Detect Linguistic Cues in Alzheimer's Disease Patients
(towardsdatascience.com) -
Understanding Convolutional Neural Networks
(towardsdatascience.com) -
How to train Machine Learning models in the cloud using Cloud ML Engine
(towardsdatascience.com) -
Facebook researchers use AI to turn whistles into orchestral music, and power other musical “translations”
(research.fb.com) -
Hello tensorflow
(medium.com) -
An Introduction to Recurrent Neural Networks
(towardsdatascience.com) -
Coding Neural Network — Dropout
(towardsdatascience.com) -
Object Detection and Visual Search Improvements
(tech.wayfair.com) -
Reinforcement Learning Demystified: Solving MDPs with Dynamic Programming
(towardsdatascience.com) -
Advances in Semantic Textual Similarity
(ai.googleblog.com) -
Automating Customer Feedback with Machine Learning
(blog.codeship.com) -
Smart Compose: Using Neural Networks to Help Write Emails
(ai.googleblog.com) -
Hyperparameter Optimization with Keras
(towardsdatascience.com) -
Differentiable convolution of probability distributions with Tensorflow
(towardsdatascience.com) -
Predicting Ethereum prices with Long Short Term Memory (LSTM)
(towardsdatascience.com) -
Automatic Photography with Google Clips
(ai.googleblog.com) -
Custom Loss functions for Deep Learning: Predicting Home Values with Keras for R
(towardsdatascience.com) -
Word2Vec — a baby step in Deep Learning but a giant leap towards Natural Language Processing
(towardsdatascience.com) -
Using Evolutionary AutoML to Discover Neural Network Architectures
(ai.googleblog.com) -
Expressive Speech Synthesis with Tacotron
(ai.googleblog.com) -
Custom On-Device ML Models with Learn2Compress
(ai.googleblog.com) -
Predict Product Success using NLP models
(towardsdatascience.com) -
Facebook’s Field Guide to Machine Learning video series
(research.fb.com) -
Fast Near-Duplicate Image Search using Locality Sensitive Hashing
(towardsdatascience.com)#data-science #machine-learning #image-processing #algorithms
-
Data and the bid to simplify grocery
(lambda.grofers.com) -
Hyper-parameters in Action! Introducing DeepReplay
(towardsdatascience.com) -
How to build a Gesture Controlled Web based Game using Tensorflow Object Detection Api
(towardsdatascience.com) -
Using Videos to Accelerate Machine Learning with NVVL
(devblogs.nvidia.com) -
Detecting licenses in code with Go and ML
(blog.sourced.tech) -
Generating Pixelated Images from Segmentation Masks using Conditional Adversarial Networks with…
(towardsdatascience.com) -
Optimal Coupon Targeting for Grocery Items: an Instacart Case Study
(towardsdatascience.com) -
Toward the Jet Age of machine learning
(www.oreilly.com) -
Measuring the Intrinsic Dimension of Objective Landscapes
(eng.uber.com) -
Visual Music & Machine Learning Workshop for Kids
(becominghuman.ai) -
Designing a face recognition application for people with visual impairments
(research.fb.com) -
Accelerating Deep Neuroevolution: Train Atari in Hours on a Single Personal Computer
(eng.uber.com) -
DeepVariant Accuracy Improvements for Genetic Datatypes
(research.googleblog.com) -
Mediation Modeling at Uber: Understanding Why Product Changes Work (and Don’t Work)
(eng.uber.com) -
Tensorflow for Manufacturing Quality Control
(towardsdatascience.com) -
A Comprehensive Design Guide for Image Classification CNNs
(hackernoon.com) -
Build a Text Classification Program: An NLP Tutorial
(www.toptal.com) -
Seeing More with In Silico Labeling of Microscopy Images
(research.googleblog.com)#data-science #machine-learning #image-processing #classifier
-
The importance of transparency and user control in machine learning
(www.oreilly.com) -
Differentiable Plasticity: A New Method for Learning to Learn
(eng.uber.com) -
Picking Trending Topics and Celebrities Using Machine Learning
(technology.condenast.com) -
Hyper-parameters in action!
(towardsdatascience.com) -
Making AI Interpretable with Generative Adversarial Networks
(medium.com) -
M2M Day 90— How I used Artificial Intelligence to automate Tinder
(towardsdatascience.com) -
A Look Behind the AI that Powers LinkedIn’s Feed: Sifting through Billions of Conversations to Create Personalized News Feeds for Hundreds of Millions of Members
(engineering.linkedin.com) -
Machine Learning Video Analysis: Identifying Fish
(www.toptal.com) -
Scaling Machine Learning to Recommend Driving Routes
(engineering.pivotal.io) -
Using CD with machine learning models to tackle fraud
(www.thoughtworks.com) -
An overview of image classification networks
(towardsdatascience.com) -
Expressive Speech Synthesis with Tacotron
(research.googleblog.com) -
Linear Algebra for Deep Learning
(towardsdatascience.com) -
Paper Repro: Deep Neuroevolution
(towardsdatascience.com) -
Music by means of natural selection
(towardsdatascience.com) -
Finding Desirable Items in eBay Search by a Deep Dive into Skipped Items
(www.ebayinc.com) -
What’s wrong with spectrograms and CNNs for audio processing?
(towardsdatascience.com) -
Using Machine Learning to Improve Streaming Quality at Netflix
(medium.com) -
Releasing “Supervisely Person” dataset for teaching machines to segment humans
(hackernoon.com) -
GPU-accelerated Neural Networks in JavaScript
(towardsdatascience.com) -
You Are (Probably) Here: Better Map Pins with DBSCAN & Random Forests
(engineering.foursquare.com) -
Vehicle Detection and Tracking using Machine Learning and HOG
(towardsdatascience.com) -
Cameras as Traffic Cops
(hackernoon.com) -
Using Evolutionary AutoML to Discover Neural Network Architectures
(research.googleblog.com) -
Common Patterns for Analyzing Data
(towardsdatascience.com) -
Shape Context descriptor and fast characters recognition
(towardsdatascience.com) -
Behind the Motion Photos Technology in Pixel 2
(research.googleblog.com) -
Knowledge Graphs for Enhanced Machine Reasoning at Forge.AI
(www.forge.ai) -
Listing Embeddings for Similar Listing Recommendations and Real-time Personalization in Search
(medium.com) -
Open Sourcing the Hunt for Exoplanets
(research.googleblog.com) -
Tensor & Flow: Part 1, TensorFlow & Machine Learning on Android
(hackernoon.com) -
The Building Blocks of Interpretability
(distill.pub) -
Detecting Objects in (almost) Real-time: FasterRCNN Explained with Code
(towardsdatascience.com) -
Understanding and optimizing GANs (Going back to first principles)
(towardsdatascience.com) -
Always start with a stupid model, no exceptions.
(blog.insightdatascience.com) -
Hierarchical Classification at Forge.AI
(hackernoon.com) -
How to do Real Time Trigger Word Detection with Keras
(hackernoon.com) -
Black-Box Attacks on Perceptual Image Hashes with GANs
(towardsdatascience.com) -
Working with Text Data — From Quality to Quantity
(towardsdatascience.com) -
Predicting e-sports winners with Machine Learning
(blog.insightdatascience.com) -
How to build a deep learning model in 15 minutes
(tech.instacart.com) -
ResNet for Traffic Sign Classification With PyTorch
(towardsdatascience.com) -
Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework
(medium.com) -
Deep inside: Autoencoders
(towardsdatascience.com) -
Under the hood: Suicide prevention tools powered by AI
(code.facebook.com) -
Neural Voice Cloning with a Few Samples
(research.baidu.com)#deep-learning #machine-learning #audio-processing #research
-
Build a recurrent neural network using Apache MXNet
(www.oreilly.com) -
Build generative models using Apache MXNet
(www.oreilly.com) -
Evolution of Object Detection and Localization Algorithms
(towardsdatascience.com) -
Making AR more precise with CoreML
(www.novoda.com) -
Graphs as the front end for machine learning
(www.oreilly.com) -
Unravelling Bayesian Dark Magic: Non-Bayesianist Implementing Bayesian Regression
(towardsdatascience.com) -
How neural networks learn distributed representations
(www.oreilly.com) -
Automatic feature engineering using deep learning and Bayesian inference
(towardsdatascience.com) -
AVA: The Art and Science of Image Discovery at Netflix
(medium.com) -
Keeping Related Pins fresh
(medium.com) -
A Scikit-learn pipeline in Wallaroo
(blog.wallaroolabs.com) -
Fighting Financial Fraud with Targeted Friction
(medium.com) -
Are computers better than doctors ?
(hackernoon.com) -
Graph based recommendation engine for Amazon products
(towardsdatascience.com) -
Analyzing Climate Patterns with Self-Organizing Maps (SOMs)
(towardsdatascience.com) -
Introducing capsule networks
(www.oreilly.com) -
Getting Started with Reinforcement Q Learning
(towardsdatascience.com) -
Learning Artistic Styles from Images
(towardsdatascience.com) -
Deep Functor
(becominghuman.ai) -
Machine learning needs machine teaching
(www.oreilly.com) -
How to solve 90% of NLP problems: A step-by-step guide
(www.oreilly.com) -
Pinterest’s Visual Lens: How computer vision explores your taste
(towardsdatascience.com) -
What is wrong with Convolutional neural networks ?
(towardsdatascience.com) -
Exploring Supervised Machine Learning Algorithms
(www.toptal.com) -
Using Synthetic Data Modeling to Enhance Machine Learning
(engineering.salesforce.com) -
Time Series Forecasting with Splunk. Part I. Intro & Kalman Filter.
(towardsdatascience.com) -
How to write some Walt Whitman style poetry using Deep Learning
(hackernoon.com) -
Omphalos, Uber’s Parallel and Language-Extensible Time Series Backtesting Tool
(eng.uber.com) -
Finding the Perfect 10: How We Developed the Foursquare Venue Rating System
(engineering.foursquare.com) -
Anomaly detection with Apache MXNet
(www.oreilly.com)#data-science #machine-learning #distributed-systems #classifier
-
Machine Learning for a Secure, Available, and Performant Infrastructure
(engineering.salesforce.com) -
Mapping Medium’s Tags
(medium.engineering) -
AutoWorkout: How to Improve Motion Activity Classifier Predictions?
(towardsdatascience.com) -
Transfer learning: leveraging insights from large data sets
(towardsdatascience.com) -
Exploring Recommendation Systems
(blog.fastforwardlabs.com) -
Creating Intricate Art with Neural Style Transfer
(becominghuman.ai) -
Introducing RLlib: A composable and scalable reinforcement learning library
(www.oreilly.com) -
Automated Text Classification Using Machine Learning
(hackernoon.com) -
How machine learning can be used to write more secure computer programs
(www.oreilly.com)#machine-learning #programming-languages #security #research #podcast
-
Scaling Gradient Boosted Trees for CTR Prediction - Part II
(engineeringblog.yelp.com) -
Supervised Machine Learning — Dimensional Reduction and Principal Component Analysis
(hackernoon.com) -
SBNet: Leveraging Activation Block Sparsity for Speeding up Convolutional Neural Networks
(eng.uber.com) -
Exploiting Spectre with Deep learning
(hackernoon.com) -
Understanding and building Generative Adversarial Networks(GANs)- Deep Learning with PyTorch.
(becominghuman.ai) -
Introduction to Python Ensembles
(www.dataquest.io) -
Transfer Learning: retraining Inception V3 for custom image classification
(becominghuman.ai) -
Introduction to LSTMs with TensorFlow
(www.oreilly.com) -
The 8 Neural Network Architectures Machine Learning Researchers Need to Learn
(towardsdatascience.com) -
Scaling Gradient Boosted Trees for CTR Prediction - Part I
(engineeringblog.yelp.com)#data-pipeline #data-science #machine-learning #apache-spark
-
Improving the Random Forest in Python Part 1
(towardsdatascience.com) -
Using Yelp Data to Predict Restaurant Closure
(towardsdatascience.com) -
Transfer learning with MXNet Gluon
(hackernoon.com) -
Probability concepts explained: Bayesian inference for parameter estimation.
(towardsdatascience.com) -
Understanding Feature Engineering (Part 2) — Categorical Data
(towardsdatascience.com) -
Artistic Style Transfer
(towardsdatascience.com) -
Reinforcement learning with TensorFlow
(www.oreilly.com) -
COTA: Improving Uber Customer Care with NLP & Machine Learning
(eng.uber.com) -
Priming neural networks with an appropriate initializer.
(becominghuman.ai) -
Various Implementations of Collaborative Filtering
(towardsdatascience.com) -
Fair and Balanced? Thoughts on Bias in Probabilistic Modeling
(hackernoon.com) -
Semi-supervised Learning with GANs
(towardsdatascience.com) -
Another Twitter sentiment analysis with Python — Part 3 (Zipf’s Law, data visualisation)
(towardsdatascience.com) -
Let’s talk about Advanced Analytics: A brief look at Artificial Intelligence
(becominghuman.ai) -
The promise of AI in audio processing
(towardsdatascience.com) -
One-Shot Learning: Face Recognition using Siamese Neural Network
(towardsdatascience.com) -
Meet Artificial Neural Networks
(towardsdatascience.com) -
What if I told you database indexes could be learned?
(towardsdatascience.com) -
Numerai walkthrough: Quantitative Analysis & Machine learning for fun and profit.
(hackernoon.com) -
How machine learning will accelerate data management systems
(www.oreilly.com) -
Uncovering hidden patterns through machine learning
(www.oreilly.com) -
Setting up a Machine Learning Framework for Production
(code.hootsuite.com) -
Smart Instant Book Filter: Book with Confidence
(medium.com) -
Understanding CapsNet (Part 1)
(becominghuman.ai)#deep-learning #machine-learning #image-processing #neural-net
-
Topic Modeling
(medium.com) -
Machine Learning Bit by Bit — Multivariate Gradient Descent
(hackernoon.com) -
I Hacked HQ Trivia But Here’s How They Can Stop Me
(hackernoon.com)#software-architecture #machine-learning #image-processing #hacking
-
The Statistical Modeling System Powering LinkedIn Salary
(engineering.linkedin.com) -
Tacotron 2: Generating Human-like Speech from Text
(research.googleblog.com) -
Apache MXNet in the Wolfram Language
(www.oreilly.com) -
Machine Learning on JavaScript, Part I: Neural Networks
(blog.moove-it.com) -
Stopping fraudsters by changing products
(eng.lyft.com) -
Improving End-to-End Models For Speech Recognition
(research.googleblog.com) -
Towards Automatic Icon Design Using Machine Learning
(becominghuman.ai) -
Single Pose Comparison — a fun application using Human Pose Estimation (Part 2)
(becominghuman.ai) -
What the SATs Taught Us about Finding the Perfect Fit
(multithreaded.stitchfix.com) -
TFGAN: A Lightweight Library for Generative Adversarial Networks
(research.googleblog.com) -
Fast INT8 Inference for Autonomous Vehicles with TensorRT 3
(devblogs.nvidia.com) -
Artwork Personalization at Netflix
(medium.com) -
Making Sentiment Analysis Easy With Scikit-Learn
(twilioinc.wpengine.com) -
Gleaning Insights from Uber’s Partner Activity Matrix with Genomic Biclustering and Machine Learning
(eng.uber.com) -
Word Embeddings with Gensim
(becominghuman.ai) -
Using Artificial Intelligence to Augment Human Intelligence
(distill.pub) -
Source Code Identifier Embeddings
(blog.sourced.tech) -
Transfer learning from multiple pre-trained computer vision models
(www.oreilly.com) -
Facebook showcases latest research at NIPS 2017
(research.fb.com) -
How to Build A Recommender System In Less Than 1 Hour
(blog.avenuecode.com) -
Recommending Visually Similar Products Using Content Based Features
(tech.wayfair.com)#data-science #machine-learning #image-processing #recommender
-
Machine Learning WAVE Files with TensorFlow
(becominghuman.ai)#deep-learning #machine-learning #tensor-flow #audio-processing
-
Google at NIPS 2017
(research.googleblog.com) -
Getting Started with TensorFlow: A Machine Learning Tutorial
(www.toptal.com) -
A Journey to <10% Word Error Rate
(hacks.mozilla.org) -
Matching Albums through Cover Art Fingerprinting
(deezer.io)#machine-learning #image-processing #data-analytics #classifier
-
Transform anything into a vector
(blog.insightdatascience.com) -
Box Graph: how we built a spontaneous social network
(blog.box.com)#machine-learning #data-analytics #graph-processing #social-networks
-
Sequence Modeling with CTC
(distill.pub) -
Representation learning and language
(becominghuman.ai) -
[Episode 01] Airbnb, Machine Learning & the Future of Travel
(mesosphere.com) -
Probabilistic Graphical Models Tutorial — Part 2
(blog.statsbot.co) -
Understanding Medical Conversations
(research.googleblog.com) -
Backprop and systolic arrays.
(becominghuman.ai) -
GANs for Simulation, Representation and Inference
(becominghuman.ai) -
“Ok, Google — How do you run Deep Learning Inference on Android Using TensorFlow?”
(blog.insightdatascience.com) -
Improving TripAdvisor Photo Selection With Deep Learning
(engineering.tripadvisor.com)#deep-learning #machine-learning #image-processing #classifier
-
A sub-optimal approach for predicting real estate prices by Zillow
(becominghuman.ai) -
Machine Learning Anomaly Scoring and Elasticsearch - How it Works
(www.elastic.co) -
Supervised Machine Learning — Linear Regression in Python
(hackernoon.com) -
Neural networks for beginners: popular types and applications
(blog.statsbot.co) -
Create Data from Random Noise with Generative Adversarial Networks
(www.toptal.com) -
Building Lens your Look: Unifying text and camera search
(medium.com) -
Building scalable visual search with machine learning
(hackernoon.com) -
Human Pose Matching on mobile — a fun application using Human Pose Estimation (Part 1 Intro)
(becominghuman.ai)#deep-learning #machine-learning #image-processing #video-processing
-
Create a Twitter Politician Bot with Markov Chains, Node.js and StdLib
(hackernoon.com) -
Engineering More Reliable Transportation with Machine Learning and AI at Uber
(eng.uber.com) -
Seamless Google Street View Panoramas
(research.googleblog.com) -
So You Have Some Clusters, Now What?
(medium.com) -
Generative Adversarial Networks — A Deep Learning Architecture
(becominghuman.ai) -
Feature Visualization
(distill.pub)#machine-learning #neural-net #internals #visualisation #image-generation
-
Machine Learning: Handbag Brand and Color Detection using Deep Neural Networks.
(technology.condenast.com)#deep-learning #machine-learning #image-processing #classifier
-
Tangent: Source-to-Source Debuggable Derivatives
(research.googleblog.com) -
Crash Catcher: Detecting Car Crashes in Video
(blog.insightdatascience.com)#deep-learning #machine-learning #image-processing #neural-net
-
Building Your Own Instagram Discovery Engine: A Step-By-Step Tutorial
(hackernoon.com) -
Closing the Simulation-to-Reality Gap for Deep Robotic Learning
(research.googleblog.com) -
Beat Atari with Deep Reinforcement Learning! (Part 2: DQN improvements)
(becominghuman.ai) -
Deep Speech 3:Exploring Neural Transducers for End-to-End Speech Recognition
(research.baidu.com)#AI #machine-learning #neural-net #audio-processing #research
-
A Neural Network Primer
(technology.condenast.com) -
Training an Architectural Classifier
(hackernoon.com) -
Humming with the bot
(blog.buildo.io) -
Machine Learning Algorithms: Which One to Choose for Your Problem
(blog.statsbot.co) -
Kaggle Fundamentals: The Titanic Competition
(www.dataquest.io) -
StreamING Machine Learning Models: How ING Adds Fraud Detection Models at Runtime with Apache Flink®
(data-artisans.com) -
What exactly is deep learning, and how does the magic happen?
(hackernoon.com) -
Building Smart Replies for Member Messages
(engineering.linkedin.com) -
DeepStream: Next-Generation Video Analytics for Smart Cities
(devblogs.nvidia.com)#machine-learning #image-processing #GPU #analytics #video-processing
-
Anomaly detection for writing styles
(blog.insightdatascience.com) -
Improving Real-Time Object Detection with YOLO
(blog.statsbot.co) -
Building Brundage Bot
(hackernoon.com) -
Stop Using word2vec
(multithreaded.stitchfix.com) -
Predicting Flight Arrivals with the Apache Kafka Streams API
(www.confluent.io) -
Meet Horovod: Uber’s Open Source Distributed Deep Learning Framework for TensorFlow
(eng.uber.com) -
Bayesian Nonparametrics
(blog.statsbot.co) -
TensorFlow Lattice: Flexibility Empowered by Prior Knowledge
(research.googleblog.com) -
State of Deep Learning in Computer Vision
(tech.showmax.com) -
Following Messi with TensorFlow and Object Detection
(becominghuman.ai) -
Designing AI: Solving Snake with Evolution
(becominghuman.ai) -
Introducing Torch Decision Trees
(blog.twitter.com) -
Machine Learning | For the Fresh Bloods
(becominghuman.ai) -
Convolutional Neural Networks (CNN, or ConvNets)
(becominghuman.ai) -
Catching up: The Near-future of Commercial AI
(blog.insightdatascience.com) -
Using neural networks to predict customers’ needs
(medium.com) -
Singular Value Decomposition (SVD) Tutorial: Applications, Examples, Exercises
(blog.statsbot.co) -
How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka
(www.confluent.io) -
Visualizing Machine Learning Thresholds to Make Better Business Decisions
(blog.insightdatascience.com) -
Image Masking Challenge. A Kaggle Competition
(becominghuman.ai) -
Solving the Schrödinger equation with deep learning
(becominghuman.ai) -
Food(ie) for Thought: Using NLP to find familiar meals at new restaurants
(blog.insightdatascience.com) -
RNNoise: Using Deep Learning for Noise Suppression
(hacks.mozilla.org)#deep-learning #machine-learning #neural-net #audio-processing
-
The Product Possibilities of Interpretability
(blog.fastforwardlabs.com) -
A State-of-the-Art Method for Generating Photo-Realistic Textures in Real Time
(jobs.zalando.com)#deep-learning #machine-learning #image-processing #research
-
Globally Normalized Reader
(research.baidu.com) -
Bayesian Learning for Statistical Classification
(blog.statsbot.co) -
Crowdwork for Machine Learning: An Autoethnography
(blog.fastforwardlabs.com) -
Machine Learning for Nginx Logs - Identifying Operational Issues with Your Website
(www.elastic.co) -
SLAM: Bringing art to life through technology
(code.facebook.com)#data-science #machine-learning #image-processing #app-design
-
Accelerate Machine Learning with Active Learning
(becominghuman.ai) -
Serving Top Comments in Professional Social Networks
(engineering.linkedin.com) -
Interpreting Decision Trees and Random Forests
(engineering.pivotal.io) -
Putting the Flow in Tensor Flow!
(becominghuman.ai) -
How To Predict ICU Mortality with Digital Health Data, DL4J, Apache Spark and Cloudera
(blog.cloudera.com) -
Pre-Processing GeoTIFF files and training DeepMask/SharpMask model
(software.intel.com) -
Interpretability in conversation with Patrick Hall and Sameer Singh
(blog.fastforwardlabs.com) -
Gradient Boosting, Decision Trees and XGBoost with CUDA
(devblogs.nvidia.com) -
Chatbots with Machine Learning: Building Neural Conversational Agents
(blog.statsbot.co) -
Heart Disease Diagnosis with Deep Learning
(blog.insightdatascience.com) -
Boosting Product Categorization with Machine Learning
(techblog.commercetools.com) -
Build your own Machine Learning Visualizations with the new TensorBoard API
(research.googleblog.com) -
Product Matching in eCommerce
(medium.com) -
3D Multi Object GAN
(becominghuman.ai) -
Video: Using Convolutional Neural Networks to Automatically Analyze Aerial and Satellite Imagery
(www.azavea.com) -
Facebook memories: the research behind the products that connect you with your past
(research.fb.com) -
Engineering Uncertainty Estimation in Neural Networks for Time Series Prediction at Uber
(eng.uber.com) -
Meet Michelangelo: Uber’s Machine Learning Platform
(eng.uber.com) -
Why your relationship is likely to last (or not): using Local Interpretable Model-Agnostic Explanations (LIME)
(blog.fastforwardlabs.com) -
Transformer: A Novel Neural Network Architecture for Language Understanding
(research.googleblog.com) -
How a robot finds its location based on what it ‘sees’
(code.oursky.com) -
Using Word2Vec to Power a Recommendation Engine
(medium.com) -
Developing Custom Machine Learning Algorithms in PySpark
(databricks.com) -
Leveraging Machine Learning to Rank Buying Intent
(code.hootsuite.com) -
Exploring and Visualizing an Open Global Dataset
(research.googleblog.com) -
The little engine that could: Linchpin DSL for Pinterest ranking
(medium.com) -
Beat Atari with Deep Reinforcement Learning! (Part 0: Intro to RL)
(becominghuman.ai) -
Strategic Pricing in Retail with Machine Learning
(blog.statsbot.co) -
A Friendly Introduction to Convolutional Neural Networks
(hashrocket.com) -
Pseudo-rehearsal: A simple solution to catastrophic forgetting for NLP
(explosion.ai) -
Disaster Relief using Satellite Imagery and Machine Learning
(software.intel.com) -
Automated image tagging at Booking.com
(blog.booking.com) -
Ensemble Learning: 3 Basic Techniques
(blog.statsbot.co) -
Generative Adversarial Networks (GANs): Engine and Applications
(blog.statsbot.co) -
The charming simplicity of NN frameworks
(becominghuman.ai) -
Sentiment Analysis Series 1 (15-min reading)
(medium.com) -
Radial-basis Function Neural Networks — Fractal Behavior
(becominghuman.ai) -
Scaling Contextual Conversation Suggestions Over 500 Million Members
(engineering.linkedin.com) -
Support Vector Machines Tutorial
(blog.statsbot.co) -
Encartopedia
(blog.fastforwardlabs.com) -
Making a Simple Neural Network : Classification
(becominghuman.ai) -
Diamond Part I
(multithreaded.stitchfix.com) -
Introduction to Imitation Learning
(blog.statsbot.co) -
Prodigy: A new tool for radically efficient machine teaching
(explosion.ai) -
Sharing new machine learning insights at ICML 2017
(research.fb.com) -
Google at ICML 2017
(research.googleblog.com) -
Transitioning entirely to neural machine translation
(code.facebook.com) -
Topic Suggestions for Millions of Repositories
(githubengineering.com) -
How we built automated support
(kickstarter.engineering) -
Machine Learning Translation and the Google Translate Algorithm
(blog.statsbot.co) -
Deep Learning — from Prototype to Production
(becominghuman.ai) -
Visually Similar Recommendations
(tech.gilt.com) -
Prophecy Fulfilled: Keras and Cloudera Data Science Workbench
(blog.cloudera.com) -
Teaching Robots to Understand Semantic Concepts
(research.googleblog.com) -
Closing the Data-Quality Loop
(jobs.zalando.com) -
Data Science Simplified: Principles and Process
(becominghuman.ai) -
Textual entailment with TensorFlow
(www.oreilly.com) -
Using Machine Learning to Predict Value of Homes On Airbnb
(medium.com) -
Perform sentiment analysis with LSTMs, using TensorFlow
(www.oreilly.com) -
Introduction to reinforcement learning and OpenAI Gym
(www.oreilly.com) -
Revisiting the Unreasonable Effectiveness of Data
(research.googleblog.com) -
Switching to a Probabilistic Model for Venue Search in Foursquare
(engineering.foursquare.com) -
Turbocharging Machine Learning
(techblog.expedia.com) -
Engineering Uber Trip Distance and Duration Predictions in Real Time with ELK
(eng.uber.com) -
Text Mining of Stack Overflow Questions
(stackoverflow.blog) -
Bringing Machine Learning to your iOS Apps 🤖📲
(realm.io) -
Is this metastasis?
(blog.insightdatascience.com)