Tagged | data-science

• Model-based candidate generation for account recommendations

  (blog.twitter.com)

  #data-science #AI #machine-learning

• Advancing Jupyter Notebooks at Twitter - Part 1

  (blog.twitter.com)

  #dev-tools #data-science #machine-learning

• Completing a member knowledge graph with Graph Neural Networks

  (engineering.linkedin.com)

  #data-science #machine-learning #neural-net

• RLDS: An Ecosystem to Generate, Share, and Use Datasets in Reinforcement Learning

  (ai.googleblog.com)

  #dev-tools #data-science #machine-learning #research

• Building confidence in a decision

  (netflixtechblog.com)

  #data-science #analytics #AB-Testing #statistics

• Recommending music to new users

  (deezer.io)

  #data-science #machine-learning #audio-processing

• Pinterest Home Feed Unified Lightweight Scoring: A Two-tower Approach

  (medium.com)

  #data-science #machine-learning #analytics

• Red Means Stop. Green Means Go: A Look into Quality Assessment in Instacart’s Knowledge Graph

  (tech.instacart.com)

  #data-science #machine-learning #NLP

• Risk-driven backbone management during COVID-19 and beyond

  (engineering.fb.com)

  #data-science #infra #networking #research

• What time-weighted averages are and why you should care

  (blog.timescale.com)

  #data-science #analytics #statistics

• Building a Version-Controlled Data Aquarium

  (benchling.engineering)

  #data-science #software-engineering #data-engineering

• Building a data stream to assist with COVID-19 research

  (blog.twitter.com)

  #data-science #software-engineering #analytics

• The Evolution of Data Science Workbench

  (eng.uber.com)

  #data-pipeline #data-science #software-engineering

• FRILL: On-Device Speech Representations using TensorFlow-Lite

  (ai.googleblog.com)

  #data-science #machine-learning #research

• Homepage feed multi-task learning using TensorFlow

  (engineering.linkedin.com)

  #data-science #software-engineering #machine-learning

• Increasing experimentation accuracy and speed by using control variates

  (codeascraft.com)

  #data-science #software-engineering #analytics #research

• Presentation: Scaling & Optimizing the Training of Predictive Models

  (www.infoq.com)

  #data-science #machine-learning

• How Pinterest Fights Spam Using Machine Learning

  (stackshare.io)

  #data-science #machine-learning

• KELM: Integrating Knowledge Graphs with Language Model Pre-training Corpora

  (ai.googleblog.com)

  #data-science #machine-learning #research

• Deep Learning Helps Demystify Authorship of a Dead Sea Scroll

  (developer.nvidia.com)

  #data-science #machine-learning #image-processing #research

• How Pinterest Fights Spam Using Machine Learning

  (medium.com)

  #data-science #machine-learning

• Greykite: A flexible, intuitive, and fast forecasting library

  (engineering.linkedin.com)

  #data-science #software-design #analytics #time-series

• Algorithm-Assisted Inventory Curation

  (multithreaded.stitchfix.com)

  #data-science #machine-learning #algorithms

• Optimal Feature Discovery: Better, Leaner Machine Learning Models Through Information Theory

  (eng.uber.com)

  #data-science #software-engineering #machine-learning

• Adversarial Reprogramming of Neural Cellular Automata

  (distill.pub)

  #data-science #machine-learning #research

• How does Airbnb track and measure growth marketing?

  (medium.com)

  #data-science #software-engineering #software-design #analytics

• Do Wide and Deep Networks Learn the Same Things?

  (ai.googleblog.com)

  #data-science #machine-learning #research

• Data-driven Software: Towards the Future of Programming in Data Science

  (databricks.com)

  #data-science #software-architecture #design-pattern

• ICLR Invited Talk on Geometric Deep Learning

  (blog.twitter.com)

  #deep-learning #data-science #research

• Flexible, Scalable, Differentiable Simulation of Recommender Systems with RecSim NG

  (ai.googleblog.com)

  #data-science #machine-learning #research

• Evolving Reinforcement Learning Algorithms

  (ai.googleblog.com)

  #data-science #machine-learning #research

• Cost-sensitive exploration in multi-armed bandits: Application to SMS routing

  (research.fb.com)

  #data-science #algorithms #research

• Auto-placement of ad campaigns using multi-armed bandits

  (research.fb.com)

  #data-science #machine-learning #algorithms #research

• Introducing causal network motifs: A new approach to identifying heterogeneous spillover effects

  (research.fb.com)

  #data-science #machine-learning #neural-net #research

• Weight Banding

  (distill.pub)

  #data-science #machine-learning #research

• Branch Specialization

  (distill.pub)

  #data-science #neural-net #research

• Building Personalisation at Scale

  (lambda.grofers.com)

  #data-pipeline #data-science #machine-learning

• Open sourcing Querybook, Pinterest’s collaborative big data hub

  (medium.com)

  #dev-tools #data-science #visualisation

• Conformal Inference of Counterfactuals and Individual Treatment Effects | Lihua Lei

  (multithreaded.stitchfix.com)

  #data-science #machine-learning #statistics

• Recursive Classification: Replacing Rewards with Examples in RL

  (ai.googleblog.com)

  #deep-learning #data-science #machine-learning #research

• How We Built A Context-Specific Bidding System for Etsy Ads

  (codeascraft.com)

  #data-science #software-architecture #algorithms #analytics

• Using Neural Networks to Find Answers in Tables

  (ai.googleblog.com)

  #data-science #NLP #research

• Detecting explicit content in songs

  (deezer.io)

  #data-science #machine-learning #audio-processing #research

• Applying Machine Learning to…..Yeast?

  (ai.googleblog.com)

  #data-science #machine-learning #research #biotech

• Presentation: Machine Learning on Mobile and Edge Devices With TensorFlow Lite

  (www.infoq.com)

  #data-science #machine-learning #mobile

• How to write code that solves logical constraints instead of testing them

  (levelup.gitconnected.com)

  #data-science #algorithms #math

• Optimizing Multiple Loss Functions with Loss-Conditional Training

  (ai.googleblog.com)

  #data-science #machine-learning #image-processing #research

• A Scalable Approach to Reducing Gender Bias in Google Translate

  (ai.googleblog.com)

  #data-science #NLP #research

• Chip Design with Deep Reinforcement Learning

  (ai.googleblog.com)

  #deep-learning #data-science #hardware #research

• Recommender Systems using LinUCB: A Contextual Multi-Armed Bandit Approach

  (towardsdatascience.com)

  #data-science #machine-learning #math

• Finding the optimal parameters in a RF model using pipes for code reuse

  (engineering.hexacta.com)

  #data-science #machine-learning

• Off-Policy Estimation for Infinite-Horizon Reinforcement Learning

  (ai.googleblog.com)

  #data-science #machine-learning #research

• CNN for Reverse Engineering: an Approach for Function Identification

  (towardsdatascience.com)

  #data-science #machine-learning #systems #reverse-engineering

• An Optimistic Perspective on Offline Reinforcement Learning

  (ai.googleblog.com)

  #data-science #machine-learning #research

• Contextual relevance in ads ranking

  (medium.com)

  #data-science #machine-learning #NLP #analytics

• Thread: Circuits

  (distill.pub)

  #data-science #neural-net #visualisation #research

• Cross Validation and Performance Measures in Machine Learning

  (towardsdatascience.com)

  #data-science #machine-learning #performance

• How Instacart Uses Data Science to Tackle Complex Business Problems

  (towardsdatascience.com)

  #data-science #machine-learning #optimisation

• A Neural Weather Model for Eight-Hour Precipitation Forecasting

  (ai.googleblog.com)

  #data-science #machine-learning #GeoData #research

• Massively Scaling Reinforcement Learning with SEED RL

  (ai.googleblog.com)

  #data-science #machine-learning #research

• The Importance of Covariates in Causal Inference: Shown in a Comparison of Two Methods

  (tech.wayfair.com)

  #data-science #analytics #math #statistics

• The Visual Complements Model (ViCs): Complementary Product Recommendations From Visual Cues

  (tech.wayfair.com)

  #data-science #machine-learning #image-processing

• Fast and Easy Infinitely Wide Networks with Neural Tangents

  (ai.googleblog.com)

  #data-science #algorithms #neural-net #research

• LSTM-FCN for cardiology

  (towardsdatascience.com)

  #data-science #machine-learning #biotech

• Zoom In: An Introduction to Circuits

  (distill.pub)

  #data-science #neural-net #visualisation #research

• More Efficient NLP Model Pre-training with ELECTRA

  (ai.googleblog.com)

  #data-science #machine-learning #NLP #research

• A Scalable Prediction Engine for Automating Structured Data Prep

  (towardsdatascience.com)

  #data-pipeline #data-science #software-engineering #machine-learning

• Data Sentinel: Automating data validation

  (engineering.linkedin.com)

  #data-pipeline #dev-tools #data-science #software-architecture

• Machine learning plus more machine learning for travel marketers

  (intent.com)

  #data-science #AI #machine-learning

• Measuring Compositional Generalization

  (ai.googleblog.com)

  #data-science #machine-learning #NLP #research

• Multi-GPU Training in Pytorch

  (towardsdatascience.com)

  #deep-learning #data-science #GPU #python

• Contextual Topic Identification

  (blog.insightdatascience.com)

  #data-science #machine-learning #NLP #big-data #text-analysis

• How (Not) to Build Datasets and Consume Data at Your Company

  (developers.soundcloud.com)

  #data-science #software-engineering #practices

• How We Improved Data Discovery for Data Scientists at Spotify

  (labs.spotify.com)

  #data-science #software-engineering #analytics

• Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer

  (ai.googleblog.com)

  #data-science #NLP #text-analysis #research

• Setting Fairness Goals with the TensorFlow Constrained Optimization Library

  (ai.googleblog.com)

  #deep-learning #data-science #machine-learning #research

• A guide to Collaborative Topic Modeling recommender systems

  (towardsdatascience.com)

  #data-science #machine-learning #text-analysis

• Generating Diverse Synthetic Medical Image Data for Training Machine Learning Models

  (ai.googleblog.com)

  #data-science #AI #image-processing #research #biotech

• First Order Motion Model

  (towardsdatascience.com)

  #deep-learning #data-science #machine-learning #image-processing

• Building an Incremental Recommender System

  (towardsdatascience.com)

  #deep-learning #data-science #machine-learning

• Presentation: Breakthroughs and the Future of (Deep) Reinforcement Learning

  (www.infoq.com)

  #deep-learning #data-science #machine-learning #research

• How to build a real-time fraud detection pipeline using Faust and MLFlow

  (towardsdatascience.com)

  #data-pipeline #data-science #infra #machine-learning

• Machine Learning Driven Sales and Marketing for Everyone with Einstein Behavior Scoring (Part 1)

  (engineering.salesforce.com)

  #data-science #machine-learning #analytics

• How to enable data scientists to stop managing ETL pipelines and get back to doing data science: Part I

  (tech.wayfair.com)

  #data-pipeline #data-science #infra #data-engineering

• ML-fairness-gym: A Tool for Exploring Long-Term Impacts of Machine Learning Systems

  (ai.googleblog.com)

  #data-science #machine-learning #research

• Deep Learning for Anomaly Detection

  (blog.fastforwardlabs.com)

  #deep-learning #data-science #analytics

• Presentation: ML's Hidden Tasks: A Checklist for Developers When Building ML Systems

  (www.infoq.com)

  #data-science #software-engineering #infra #machine-learning

• Article: Privacy Architecture for Data-Driven Innovation

  (www.infoq.com)

  #data-science #software-engineering #privacy

• PyKrylov: Accelerating Machine Learning Research at eBay

  (tech.ebayinc.com)

  #data-science #machine-learning #python #research

• pakkr™ (Part I), One Pipeline to Rule Them All

  (medium.com)

  #data-pipeline #data-science #machine-learning

• Modernizing Ads Targeting Machine Learning Pipeline

  (engineeringblog.yelp.com)

  #data-science #machine-learning

• Encode, Tag and Realize: A Controllable and Efficient Approach for Text Generation

  (ai.googleblog.com)

  #data-science #AI #NLP #research

• Ultron: ML Inferencing Platform @Walmart Labs

  (medium.com)

  #data-science #software-engineering #infra #machine-learning

• Towards a Conversational Agent that Can Chat About…Anything

  (ai.googleblog.com)

  #data-science #machine-learning #NLP #research

• Deep Learning for Anomaly Detection

  (blog.cloudera.com)

  #deep-learning #data-science #analytics #big-data

• Privacy-Preserving Machine Learning: A Primer

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #privacy

• Modelling tabular data with Google’s TabNet

  (towardsdatascience.com)

  #deep-learning #data-science #machine-learning

• Predicting the Demand of Products Sold Online

  (www.semantics3.com)

  #data-science #analytics #statistics

• Bayesian Product Ranking at Wayfair

  (tech.wayfair.com)

  #data-science #algorithms #big-data #math

• For Your Ears Only: Personalizing Spotify Home with Machine Learning

  (labs.spotify.com)

  #data-science #machine-learning #big-data #tensor-flow

• Reformer: The Efficient Transformer

  (ai.googleblog.com)

  #data-science #machine-learning #research

• Visualizing the Impact of Feature Attribution Baselines

  (distill.pub)

  #data-science #machine-learning #research

• Can You Trust Your Model’s Uncertainty?

  (ai.googleblog.com)

  #data-science #machine-learning #research

• Interest Taxonomy: A knowledge graph management system for content understanding at Pinterest

  (medium.com)

  #data-science #NLP #math #graph

• Article: Candy Crush QA AI Saga

  (www.infoq.com)

  #data-science #AI #machine-learning #game-dev

• Idea Behind LIME and SHAP

  (towardsdatascience.com)

  #data-science #AI #machine-learning

• Beyond L2 Loss — How we experiment with loss functions at Lyft

  (eng.lyft.com)

  #data-science #algorithms #math #statistics

• The story behind an Instacart order, part 3: predicting the shop

  (tech.instacart.com)

  #data-science #machine-learning #math

• Want to make good business decisions? Learn causality

  (multithreaded.stitchfix.com)

  #data-science #analytics #statistics

• Bias-Variance Tradeoff Explained

  (blog.insightdatascience.com)

  #data-science #machine-learning #math #statistics

• How to Build Domain Specific Automatic Speech Recognition Models on GPUs

  (devblogs.nvidia.com)

  #data-science #machine-learning #GPU #audio-processing

• Improving Out-of-Distribution Detection in Machine Learning Models

  (ai.googleblog.com)

  #data-science #machine-learning #research

• eBay’s Transformation to a Modern AI Platform

  (tech.ebayinc.com)

  #data-science #AI #image-processing

• Three Ways to Get Into the “Mind” of a Supervised Machine Learning Model

  (www.azavea.com)

  #data-science #machine-learning #image-processing #GeoData

• Improvements to Portrait Mode on the Google Pixel 4 and Pixel 4 XL

  (ai.googleblog.com)

  #data-science #AI #image-processing #research

• Architecting Restaurant Wait Time Predictions

  (engineeringblog.yelp.com)

  #data-science #machine-learning #analytics

• The Winding Road to Better Machine Learning Infrastructure Through Tensorflow Extended and Kubeflow

  (labs.spotify.com)

  #data-science #infra #machine-learning #big-data

• ReCNet: Deep Learning based Cross-class Recommendations at Wayfair

  (tech.wayfair.com)

  #deep-learning #data-science #machine-learning #neural-net

• 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)

  #data-science #machine-learning #research

• Joint Intent Classification and Entity Recognition for Conversational Commerce

  (medium.com)

  #data-science #machine-learning #NLP

• Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber

  (eng.uber.com)

  #data-science #software-engineering #machine-learning #math

• 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)

  #data-science #machine-learning #audio-processing

• Controlling Text Generation with Plug and Play Language Models

  (eng.uber.com)

  #data-science #machine-learning #NLP #research

• Managing eBay Vast Service Architecture Using Knowledge Graphs

  (www.infoq.com)

  #data-science #machine-learning #graph-processing #bigDL

• Federated Learning powered by NVIDIA Clara

  (devblogs.nvidia.com)

  #data-science #machine-learning #GPU

• BERT Does Business: Implementing the BERT Model for Natural Language Processing at Wayfair

  (tech.wayfair.com)

  #data-science #machine-learning #NLP #text-analysis

• Autonomous Vehicle Radar Perception in 360 Degrees

  (devblogs.nvidia.com)

  #data-science #image-processing #algorithms #GPU

• Our Transition to Machine Learning in Search Ranking to Match Customers and Professionals

  (engineering.thumbtack.com)

  #data-science #machine-learning #search #big-data

• EfficientDet: Scalable and Efficient Object Detection Review

  (towardsdatascience.com)

  #data-science #image-processing #algorithms #research

• Powered by AI: Instagram’s Explore recommender system

  (instagram-engineering.com)

  #data-science #machine-learning #big-data

• Deep Clustering for Financial Market Segmentation

  (towardsdatascience.com)

  #deep-learning #data-science #machine-learning #analytics

• Preparing TIFF images for image translation with Pix2Pix

  (towardsdatascience.com)

  #data-science #image-processing #neural-net

• Checkout Surveys: A Data Science Approach

  (engineering.squarespace.com)

  #data-science #analytics

• On Semantic Search

  (towardsdatascience.com)

  #data-science #machine-learning #search #NLP

• RecSim: A Configurable Simulation Platform for Recommender Systems

  (ai.googleblog.com)

  #data-science #machine-learning #research

• Illustrated: Self-Attention

  (towardsdatascience.com)

  #data-science #machine-learning

• How to Train StyleGAN to Generate Realistic Faces

  (towardsdatascience.com)

  #deep-learning #data-science #image-processing #neural-net

• SPICE: Self-Supervised Pitch Estimation

  (ai.googleblog.com)

  #data-science #machine-learning #audio-processing #research

• Understanding product attributes for shoppers

  (medium.com)

  #data-science #machine-learning #search

• Learning to Smell: Using Deep Learning to Predict the Olfactory Properties of Molecules

  (ai.googleblog.com)

  #deep-learning #data-science #research

• Understanding Neural Machine Translation: Encoder-Decoder Architecture

  (towardsdatascience.com)

  #deep-learning #data-science #machine-learning #neural-net

• How We Built Personalization and Natural Language into CRM Search

  (engineering.salesforce.com)

  #data-science #search #NLP

• Dropbox Predicts What File You Need Next With Content-Specific ML Pipelines

  (www.infoq.com)

  #data-pipeline #data-science #machine-learning

• Credit Card Fraud Detection using Self Organizing FeatureMaps

  (towardsdatascience.com)

  #data-science #machine-learning #algorithms #statistics

• Deep Prognosis: Predicting Mortality in the ICU

  (blog.insightdatascience.com)

  #deep-learning #data-science #analytics #biotech

• Detecting Stop Signs and Traffic Signals: Deep Learning at Lyft Mapping

  (eng.lyft.com)

  #deep-learning #data-science #image-processing #research

• Interpretability in ML: Identifying anomalies, influencers, and root causes

  (www.elastic.co)

  #data-science #machine-learning #analytics #big-data

• Computing Receptive Fields of Convolutional Neural Networks

  (distill.pub)

  #data-science #machine-learning #neural-net #research

• Tuning Neural Networks

  (towardsdatascience.com)

  #data-science #AI #machine-learning #neural-net

• Griffin, an anti-fraud risk rule engine making billions of predictions daily

  (engineering.grab.com)

  #data-science #software-engineering #software-architecture #algorithms #big-data

• Modeling Uplift Directly: Uplift Decision Tree with KL Divergence and Euclidean Distance as Splitting Criteria

  (tech.wayfair.com)

  #data-science #machine-learning #algorithms #math

• MOUSE Movement modelling to predict online Fraud

  (towardsdatascience.com)

  #data-science #machine-learning #algorithms

• Creating New Composite BioBricks using NLP

  (towardsdatascience.com)

  #data-science #NLP #biotech

• Reviews 2.0 – the architecture behind tags

  (engineering.zomato.com)

  #data-science #software-architecture #text-analysis

• Open-sourcing Polynote: an IDE-inspired polyglot notebook

  (medium.com)

  #data-science #software-engineering #HCI #visualisation

• Interpretable Machine Learning for Image Classification with LIME

  (towardsdatascience.com)

  #deep-learning #data-science #AI #image-processing

• Audio and Visual Quality Measurement using Fréchet Distance

  (ai.googleblog.com)

  #data-science #algorithms #audio-processing #research #video-processing

• UNet Line by Line Explanation

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net

• ML Platform Meetup: Infra for Contextual Bandits and Reinforcement Learning

  (medium.com)

  #data-science #machine-learning #data-engineering

• Attention for time series classification and forecasting

  (towardsdatascience.com)

  #data-science #machine-learning #analytics #time-series

• How The New York Times is Experimenting with Recommendation Algorithms

  (open.nytimes.com)

  #data-science #machine-learning #algorithms #practices

• The Lucas Critique and the Necessity of Theory

  (tech.wayfair.com)

  #data-science #algorithms #math #statistics

• Evolving Michelangelo Model Representation for Flexibility at Scale

  (eng.uber.com)

  #data-science #machine-learning #scaling #data-engineering

• Categorical Embedding and Transfer Learning

  (towardsdatascience.com)

  #data-science #AI #machine-learning

• Understanding Fixup initialization

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net

• Exploring Massively Multilingual, Massive Neural Machine Translation

  (ai.googleblog.com)

  #data-science #machine-learning #NLP #research

• Federated Learning

  (towardsdatascience.com)

  #data-science #machine-learning #security #privacy

• The science behind consolidating Answer Bot production Models: Part 2

  (medium.com)

  #data-science #software-engineering #NLP #text-analysis

• Lessons for Improving Training Performance — Part 1

  (hackernoon.com)

  #data-science #machine-learning #performance

• Using machine learning to predict what file you need next, Part 2

  (blogs.dropbox.com)

  #data-science #software-engineering #software-architecture #machine-learning

• Introducing spaCy v2.2

  (explosion.ai)

  #data-science #NLP #python #text-analysis

• Automating Weak Supervision

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #research

• VideoThat!

  (towardsdatascience.com)

  #data-science #AI #video-processing

• Inference Attacks against Machine Learning models

  (towardsdatascience.com)

  #data-science #machine-learning

• MaRS: How Facebook keeps maps current and accurate

  (engineering.fb.com)

  #data-science #algorithms #big-data #GeoData #maps

• The Paths Perspective on Value Learning

  (distill.pub)

  #data-science #machine-learning #visualisation #research

• Normalizing Resume Text in the Age of Ninjas, Rockstars, and Wizards

  (engineering.indeedblog.com)

  #data-science #algorithms #text-analysis #statistics

• An Inside Look at Flood Forecasting

  (ai.googleblog.com)

  #data-science #machine-learning #GeoData #research

• Introducing Hypothesis GU Funcs, an Open Source Python Package for Unit Testing

  (eng.uber.com)

  #data-science #testing #machine-learning #python

• Presentation: Advanced Data Visualizations In Jupyter Notebooks

  (www.infoq.com)

  #dev-tools #data-science #analytics #python #visualisation

• Project Ihmehimmeli: Temporal Coding in Spiking Neural Networks

  (ai.googleblog.com)

  #data-science #machine-learning #neural-net #research

• Introduction to Stream Mining

  (towardsdatascience.com)

  #data-pipeline #stream-processing #data-science #analytics

• Making long-term forecasts at Lyft

  (eng.lyft.com)

  #data-science #machine-learning #analytics #visualisation

• Understanding deep neural networks

  (www.oreilly.com)

  #deep-learning #data-science #neural-net #podcast

• Reimagining Experimentation Analysis at Netflix

  (medium.com)

  #data-science #software-engineering #analytics

• Introducing Harmonia: Context-Aware Product Recommendation From Room Images

  (tech.wayfair.com)

  #data-science #machine-learning #image-processing #research

• Recursive Sketches for Modular Deep Learning

  (ai.googleblog.com)

  #deep-learning #data-science #research

• PinText: A Multitask Text Embedding System in Pinterest

  (medium.com)

  #data-science #machine-learning #NLP #big-data

• Demand Forecasting Tech Stack @ Walmart

  (medium.com)

  #data-pipeline #data-science #software-architecture #infra

• Transfer Learning - from the ground up

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #NLP #research

• Presentation: 7 Steps to Design, Build, and Scale an AI Product

  (www.infoq.com)

  #data-science #software-engineering #AI #machine-learning

• Accelerate with BERT: NLP Optimization Models

  (www.toptal.com)

  #data-science #machine-learning #NLP

• Exploring Weight Agnostic Neural Networks

  (ai.googleblog.com)

  #data-science #machine-learning #neural-net #research

• 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)

  #data-science #machine-learning #neural-net #research

• CNN Architectures, a Deep-dive

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net

• Building a universal search system for Pinterest

  (medium.com)

  #data-science #machine-learning #image-processing #search

• Presentation: From Research to Production With PyTorch

  (www.infoq.com)

  #deep-learning #data-science #python #production

• Advanced Topics in Neural Networks

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net #research

• Presentation: Getting Started in Deep Learning with TensorFlow 2.0

  (www.infoq.com)

  #deep-learning #data-science #machine-learning #tensor-flow

• Turbo, An Improved Rainbow Colormap for Visualization

  (ai.googleblog.com)

  #data-science #machine-learning #image-processing #visualisation #research

• Dynamic Speed Optimization

  (towardsdatascience.com)

  #data-science #machine-learning #algorithms #optimisation

• Presentation: Hands-on Feature Engineering for Natural Language Processing

  (www.infoq.com)

  #data-science #machine-learning #NLP #text-analysis

• Pin2Interest: A scalable system for content classification

  (medium.com)

  #data-pipeline #data-science #NLP #big-data

• Labeling, transforming, and structuring training data sets for machine learning

  (www.oreilly.com)

  #data-science #big-data #research #podcast

• Anisotropic, Dynamic, Spectral and Multiscale Filters Defined on Graphs

  (towardsdatascience.com)

  #data-science #algorithms #graph-processing

• Article: Fraud Detection using Random Forest, Neural Autoencoder, and Isolation Forest techniques

  (www.infoq.com)

  #data-science #AI #machine-learning #neural-net

• Detecting and Preventing Abuse on LinkedIn Using Isolation Forests

  (engineering.linkedin.com)

  #data-science #algorithms #analytics #big-data

• Project Euphonia’s Personalized Speech Recognition for Non-Standard Speech

  (ai.googleblog.com)

  #data-science #machine-learning #audio-processing #research

• Presentation: Deep Learning for Recommender Systems

  (www.infoq.com)

  #deep-learning #data-science #AI #tensor-flow #recommender

• Article: Privacy Attacks on Machine Learning Models

  (www.infoq.com)

  #data-science #machine-learning #security #research #privacy

• Code as Craft: Understand the role of Style in e-commerce shopping

  (codeascraft.com)

  #data-science #machine-learning #image-processing #big-data

• Recognize Class Imbalance with Baselines and Better Metrics

  (engineering.indeedblog.com)

  #data-science #data-analytics #statistics

• Advances in Spam Detection on Tumblr

  (engineering.tumblr.com)

  #data-science #machine-learning #data-engineering

• Real-time Recommendation System: Rolling Feature Matrix

  (towardsdatascience.com)

  #data-science #machine-learning #algorithms

• Understanding Pins through keyword extraction

  (medium.com)

  #data-science #software-engineering #machine-learning #NLP

• Moving from Data-Driven to AI-Driven: The Next Step in the Evolution of Business Workflows

  (multithreaded.stitchfix.com)

  #data-science #AI #machine-learning #big-data

• Reproducible model training: deep dive

  (towardsdatascience.com)

  #data-science #software-engineering #machine-learning

• Introducing EvoGrad: A Lightweight Library for Gradient-Based Evolution

  (eng.uber.com)

  #data-science #AI #machine-learning #research

• Understanding Partial Auto-Correlation

  (towardsdatascience.com)

  #data-science #analytics #time-series #math #statistics

• Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathology

  (ai.googleblog.com)

  #data-science #machine-learning #image-processing #search #biotech

• Holistic Large Scale Video Understanding

  (towardsdatascience.com)

  #deep-learning #data-science #image-processing #media

• Parrotron: New Research into Improving Verbal Communication for People with Speech Impairments

  (ai.googleblog.com)

  #data-science #AI #machine-learning #algorithms #research

• Lynx: Identifying Wayfair Customers’ Functional Needs

  (tech.wayfair.com)

  #data-science #algorithms #analytics #big-data

• Give Me Jeans not Shoes: How BERT Helps Us Deliver What Clients Want

  (multithreaded.stitchfix.com)

  #data-science #machine-learning #analytics #big-data

• Random Forests for Store Forecasting at Walmart Scale

  (medium.com)

  #data-science #machine-learning #scaling #GPU

• ArchiGAN: a Generative Stack for Apartment Building Design

  (devblogs.nvidia.com)

  #data-science #algorithms #GPU #neural-net #research

• Amenity Detection and Beyond — New Frontiers of Computer Vision at Airbnb

  (medium.com)

  #data-science #AI #image-processing #CV

• Introducing the Plato Research Dialogue System: A Flexible Conversational AI Platform

  (eng.uber.com)

  #data-science #AI #research #bots

• Introduction to Federated Learning and Privacy Preservation

  (towardsdatascience.com)

  #data-science #software-architecture #machine-learning #privacy

• Presentation: Deep Learning with Audio Signals: Prepare, Process, Design, Expect

  (www.infoq.com)

  #deep-learning #data-science #audio-processing #media

• Multilingual Universal Sentence Encoder for Semantic Retrieval

  (ai.googleblog.com)

  #data-science #AI #NLP #research

• Presentation: DeepRacer and DeepLens, Machine Learning for Fun! (and Profit?)

  (www.infoq.com)

  #deep-learning #data-science #machine-learning

• Self Attention and Transformers

  (towardsdatascience.com)

  #deep-learning #data-science #AI #machine-learning

• Facebook, Carnegie Mellon build first AI that beats pros in 6-player poker

  (ai.facebook.com)

  #data-science #AI #machine-learning #research

• Swamping and Masking in Anomaly detection: How Subsampling in Isolation Forests helps mitigate…

  (medium.com)

  #data-science #algorithms #analytics

• Simulacra And Selection

  (multithreaded.stitchfix.com)

  #data-pipeline #data-science #math

• Advancing Semi-supervised Learning with Unsupervised Data Augmentation

  (ai.googleblog.com)

  #data-science #AI #image-processing #research

• Presentation: Reinforcement Learning: A Gentle Introduction with a Real Application

  (www.infoq.com)

  #data-science #machine-learning #big-data

• Taking Snorkel for a spin

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #algorithms

• Presentation: Policing the Capital Markets with ML

  (www.infoq.com)

  #data-science #machine-learning #analytics #fintech

• Recommendation Systems at Scale — Making Grab’s everyday app super

  (towardsdatascience.com)

  #data-pipeline #data-science #scaling #analytics

• This New Google Technique Help Us Understand How Neural Networks are Thinking

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net

• DLRM: An advanced, open source deep learning recommendation model

  (ai.facebook.com)

  #deep-learning #data-science #AI #python #research

• Anomaly detection using Isolation forest

  (lambda.grofers.com)

  #data-science #machine-learning #algorithms

• Presentation: Comparing Machine Learning Strategies using Scikit-learn and TensorFlow

  (www.infoq.com)

  #data-science #machine-learning #algorithms #python

• Predicting Bus Delays with Machine Learning

  (ai.googleblog.com)

  #data-science #machine-learning #GeoData #research #maps

• Neural Network Optimization

  (towardsdatascience.com)

  #deep-learning #data-science #AI #machine-learning

• Building a Search Engine with BERT and TensorFlow

  (towardsdatascience.com)

  #data-science #search #NLP #text-analysis

• Community-Focused Feed Optimization

  (engineering.linkedin.com)

  #data-science #software-architecture #machine-learning #analytics #data-engineering

• Gaining Insights in a Simulated Marketplace with Machine Learning at Uber

  (eng.uber.com)

  #data-science #machine-learning #analytics #big-data

• Using Causal Inference to Improve the Uber User Experience

  (eng.uber.com)

  #data-science #analytics #UX #statistics

• Presentation: Debuggable Deep Learning

  (www.infoq.com)

  #deep-learning #data-science #debugging #AI

• 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)

  #data-science #machine-learning #algorithms

• Combating Adversarial Attacks with a Barrage of Random Transforms (BaRT)

  (devblogs.nvidia.com)

  #data-science #AI #machine-learning #neural-net

• Detecting Bias with SHAP

  (databricks.com)

  #data-science #data-analytics #visualisation #statistics

• 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

• The quest for high-quality data

  (www.oreilly.com)

  #data-science #practices #big-data

• Creating the “Superclass”: Improving object detection at Wayfair via product class clustering

  (tech.wayfair.com)

  #data-science #machine-learning #image-processing #statistics

• Presentation: wav2letter++: Facebook's Fast Open-source Speech Recognition System

  (www.infoq.com)

  #deep-learning #data-science #NLP #audio-processing #research

• Applying AutoML to Transformer Architectures

  (ai.googleblog.com)

  #deep-learning #data-science #NLP #neural-net #research

• Rise of the Low-Code ML toolboxes

  (blog.fastforwardlabs.com)

  #dev-tools #data-science #AI #machine-learning

• Presentation: Applying Deep Learning to Airbnb Search

  (www.infoq.com)

  #deep-learning #data-science #machine-learning #search #big-data

• Introducing Google Research Football: A Novel Reinforcement Learning Environment

  (ai.googleblog.com)

  #data-science #AI #machine-learning #research

• Presentation: Ludwig: A Code-Free Deep Learning Toolbox

  (www.infoq.com)

  #deep-learning #dev-tools #data-science

• Advanced Topics in Deep Convolutional Neural Networks

  (towardsdatascience.com)

  #deep-learning #data-science #neural-net #research

• Modeling the Unseen

  (tech.instacart.com)

  #data-science #machine-learning #analytics #big-data

• Power On: Accelerating Uber’s Self-Driving Vehicle Development with Data

  (eng.uber.com)

  #data-science #machine-learning #visualisation #GeoData

• Introducing TensorNetwork, an Open Source Library for Efficient Tensor Calculations

  (ai.googleblog.com)

  #data-science #performance #research #math #computation

• Reinforcement Learning — Multi-Arm Bandit Implementation

  (towardsdatascience.com)

  #data-science #AI #machine-learning

• EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling

  (ai.googleblog.com)

  #data-science #machine-learning #neural-net #research

• Presentation: Michelangelo Palette: A Feature Engineering Platform at Uber

  (www.infoq.com)

  #data-science #machine-learning #distributed-systems #data-engineering

• Moving Camera, Moving People: A Deep Learning Approach to Depth Prediction

  (ai.googleblog.com)

  #deep-learning #data-science #AI #image-processing #research

• Presentation: Privacy: The Last Stand for Fair Algorithms

  (www.infoq.com)

  #data-science #machine-learning #privacy

• Presentation: Modern NLP for Pre-Modern Practitioners

  (www.infoq.com)

  #data-science #NLP #text-analysis #research

• Presentation: Massive Scale Anomaly Detection Framework

  (www.infoq.com)

  #data-science #machine-learning #big-data #statistics

• Function Approximation in Reinforcement Learning

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net #math

• Meta-Learners - learning how to learn

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #research

• Releasing Pythia for vision and language multimodal AI models

  (code.fb.com)

  #deep-learning #data-science #AI #python

• 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)

  #data-science #machine-learning #image-processing #search

• End-to-End Object Detection for Furniture Using Deep Learning

  (blog.insightdatascience.com)

  #deep-learning #data-science #image-processing #classifier

• Graph Convolutional Networks for Geometric Deep Learning

  (towardsdatascience.com)

  #deep-learning #data-science #algorithms #neural-net #research

• Accelerating Machine Learning with the Feature Store Service

  (technology.condenast.com)

  #data-science #machine-learning #big-data #data-engineering

• Introducing Translatotron: An End-to-End Speech-to-Speech Translation Model

  (ai.googleblog.com)

  #data-science #AI #NLP #audio-processing #research

• Presentation: Understanding Deep Learning

  (www.infoq.com)

  #deep-learning #data-science #neural-net

• Presentation: Intuition & Use-Cases of Embeddings in NLP & Beyond

  (www.infoq.com)

  #data-science #search #NLP #text-analysis

• Presentation: How to Prevent Catastrophic Failure in Production ML Systems

  (www.infoq.com)

  #data-science #software-engineering #AI #machine-learning

• Evolving Deep Neural Networks

  (towardsdatascience.com)

  #deep-learning #data-science #AI #machine-learning

• Presentation: Productionizing H2O Models with Apache Spark

  (www.infoq.com)

  #data-pipeline #data-science #software-engineering #machine-learning #apache-spark

• How WaveNet Works

  (towardsdatascience.com)

  #deep-learning #data-science #machine-learning

• Visualizing Active Learning

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #visualisation

• Introducing RoSE: Wayfair’s Room Style Estimator

  (tech.wayfair.com)

  #data-science #machine-learning #image-processing #search

• Railyard: how we rapidly train machine learning models with Kubernetes

  (stripe.com)

  #data-science #software-engineering #software-architecture #kubernetes #data-engineering

• Need for Feature Engineering in Machine Learning

  (towardsdatascience.com)

  #data-science #machine-learning #analytics #visualisation

• Accuracy vs Interpretability paradox

  (medium.com)

  #data-science #machine-learning #analytics

• Presentation: Forecasting in Complex Systems

  (www.infoq.com)

  #data-science #algorithms #big-data #math

• Using Deep Learning for finger-vein based biometric authentication

  (towardsdatascience.com)

  #deep-learning #data-science #image-processing #research #biotech

• Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask

  (eng.uber.com)

  #data-science #data-analytics #big-data #math

• Markov Chains and HMMs

  (towardsdatascience.com)

  #data-science #machine-learning #algorithms #math

• An intuitive understanding of the LAMB optimizer

  (towardsdatascience.com)

  #deep-learning #data-science #performance #data-engineering

• Using machine learning to predict what file you need next

  (blogs.dropbox.com)

  #data-science #software-engineering #software-design #machine-learning

• Driving Business Decisions Using Data Science and Machine Learning

  (engineering.linkedin.com)

  #data-science #software-engineering #big-data

• Meaning Representation and SRL​: assuming there is some meaning

  (towardsdatascience.com)

  #data-science #machine-learning #NLP #text-analysis

• 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)

  #data-science #testing #machine-learning

• Query Segmentation and Spelling Correction

  (towardsdatascience.com)

  #data-science #machine-learning #NLP #text-analysis

• 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)

  #data-science #machine-learning #big-data #research

• SpecAugment: A New Data Augmentation Method for Automatic Speech Recognition

  (ai.googleblog.com)

  #data-science #machine-learning #audio-processing #research

• What is Geometric Deep Learning?

  (towardsdatascience.com)

  #deep-learning #data-science #machine-learning #research

• Extracting knowledge from knowledge graphs.

  (towardsdatascience.com)

  #data-science #AI #big-data #graph-processing

• Presentation: Data Science for Lazy People, Automated Machine Learning

  (www.infoq.com)

  #data-science #AI #machine-learning

• A Radiologist’s Exploration of the Stanford ML Group’s MRNet data

  (towardsdatascience.com)

  #data-science #machine-learning #image-processing #biotech

• How do Graph Neural Networks Work?

  (towardsdatascience.com)

  #data-science #neural-net #graph

• Word2vec Made Easy

  (towardsdatascience.com)

  #data-science #machine-learning #NLP #text-analysis

• MorphNet: Towards Faster and Smaller Neural Networks

  (ai.googleblog.com)

  #data-science #algorithms #neural-net #research

• Towards explainable AI for healthcare: Predicting and visualizing age in Chest Radiographs

  (towardsdatascience.com)

  #data-science #AI #image-processing #biotech

• End-To-End Topic Modeling in Python: Latent Dirichlet Allocation (LDA)

  (towardsdatascience.com)

  #data-science #NLP #python #text-analysis

• Paper Summary. Stiffness: A New Perspective on Generalization in Neural Networks

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net #research

• 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)

  #data-science #machine-learning #neural-net #visualisation

• Solving A Data Science Challenge - The Visual Way

  (towardsdatascience.com)

  #data-science #visualisation #GeoData #maps

• An Invitation to Active Learning

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #statistics

• Amundsen — Lyft’s data discovery & metadata engine

  (eng.lyft.com)

  #dev-tools #data-science #metadata #data-engineering

• A Visual Exploration of Gaussian Processes

  (distill.pub)

  #data-science #data-analytics #visualisation #math #statistics

• A Guide to Learning with Limited Labeled Data

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #visualisation

• Semantic search

  (towardsdatascience.com)

  #data-science #search #NLP #text-analysis

• Presentation: Fairness, Transparency, and Privacy in AI @LinkedIn

  (www.infoq.com)

  #data-science #AI #machine-learning #big-data

• AutoML for Data Augmentation

  (blog.insightdatascience.com)

  #deep-learning #data-science #machine-learning

• Illustrated: Efficient Neural Architecture Search

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net #visualisation #research

• 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)

  #data-science #machine-learning #math #recommender

• Visualizing memorization in RNNs

  (distill.pub)

  #data-science #machine-learning #neural-net #visualisation #research

• Simulated Policy Learning in Video Models

  (ai.googleblog.com)

  #data-science #AI #machine-learning #research

• Reducing the Need for Labeled Data in Generative Adversarial Networks

  (ai.googleblog.com)

  #data-science #machine-learning #neural-net #research

• Measuring the Limits of Data Parallel Training for Neural Networks

  (ai.googleblog.com)

  #data-science #performance #neural-net #research #parallel-computing

• Tackling Bias in Machine Learning

  (blog.insightdatascience.com)

  #data-science #machine-learning #big-data

• Finding similar images using Deep learning and Locality Sensitive Hashing

  (towardsdatascience.com)

  #deep-learning #data-science #image-processing #search

• State-of-the-art Multilingual Lemmatization

  (towardsdatascience.com)

  #data-science #machine-learning #NLP

• An Introduction to Meta-Learning

  (medium.com)

  #deep-learning #data-science #machine-learning

• Harnessing Organizational Knowledge for Machine Learning

  (ai.googleblog.com)

  #data-science #machine-learning #neural-net #research

• U-Net deep learning colourisation of greyscale images

  (towardsdatascience.com)

  #deep-learning #data-science #image-processing #neural-net

• Connectivity Patterns in Deep Neural Networks

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net #research

• RNN-Based Handwriting Recognition in Gboard

  (ai.googleblog.com)

  #data-science #machine-learning #neural-net #research

• Lessons learned building natural language processing systems in health care

  (www.oreilly.com)

  #data-science #NLP #text-analysis #biotech

• Activation Atlas

  (distill.pub)

  #data-science #image-processing #neural-net #visualisation

• Learning to Plan with Value Iteration Networks

  (towardsdatascience.com)

  #data-science #machine-learning #algorithms #neural-net

• Introducing GPipe, an Open Source Library for Efficiently Training Large-scale Neural Network Models

  (ai.googleblog.com)

  #data-science #machine-learning #python #research

• Rendezvous Architecture for Data Science in Production

  (towardsdatascience.com)

  #data-science #software-architecture #DBMS #distributed-systems #big-data

• Understand how your TensorFlow Model is Making Predictions

  (towardsdatascience.com)

  #deep-learning #data-science #debugging #tensor-flow

• AutoML for predictive modeling

  (tech.showmax.com)

  #dev-tools #data-science #machine-learning

• Introducing Meta Reward Learning

  (towardsdatascience.com)

  #data-science #machine-learning #research

• 3 reasons to add deep learning to your time series toolkit

  (www.oreilly.com)

  #deep-learning #data-science #time-series #big-data

• Learning to Generalize from Sparse and Underspecified Rewards

  (ai.googleblog.com)

  #data-science #AI #machine-learning #research

• Introducing Image Search & Price Suggestions

  (medium.com)

  #data-science #machine-learning #search

• AI for algorithmic trading: rethinking bars, labeling, and stationarity

  (towardsdatascience.com)

  #data-science #AI #algorithms #analytics

• Inference using EM algorithm

  (towardsdatascience.com)

  #data-science #machine-learning #algorithms #math

• Introduction to Augmented Random Search.

  (towardsdatascience.com)

  #data-science #machine-learning #search #math

• Machine Learning for Detecting Code Bugs

  (towardsdatascience.com)

  #dev-tools #data-science #QA #machine-learning

• Introducing Ludwig, a Code-Free Deep Learning Toolbox

  (eng.uber.com)

  #deep-learning #data-science #machine-learning

• Why Financial Planning is Exciting… At Least for a Data Scientist

  (eng.uber.com)

  #data-science #machine-learning #data-analytics

• Review: SegNet (Semantic Segmentation)

  (towardsdatascience.com)

  #deep-learning #data-science #image-processing #research

• Cross-lingual pretraining sets new state of the art for natural language understanding

  (code.fb.com)

  #data-science #machine-learning #NLP #research

• Machine Learning-Powered Search Ranking of Airbnb Experiences

  (medium.com)

  #data-science #machine-learning #search #analytics

• Teaching AI to learn speech the way children do

  (code.fb.com)

  #data-science #AI #machine-learning #NLP #research

• Contextualizing Airbnb by Building Knowledge Graph

  (medium.com)

  #data-science #machine-learning #NLP #big-data #graph

• Transformer-XL: Unleashing the Potential of Attention Models

  (ai.googleblog.com)

  #data-science #machine-learning #neural-net #research

• How we do Data QA @ Semantics3: Statistics & Algorithms (Part 1)

  (www.semantics3.com)

  #data-science #QA #analytics

• Making an interactive UMAP visualization of the MNIST data set

  (blog.fastforwardlabs.com)

  #deep-learning #data-science #neural-net #visualisation

• How Uber Leverages Applied Behavioral Science at Scale

  (eng.uber.com)

  #data-science #AI #machine-learning #research

• How Shopify Uses Recommender Systems to Empower Entrepreneurs

  (engineering.shopify.com)

  #data-science #machine-learning #recommender

• Text to Image

  (towardsdatascience.com)

  #data-science #NLP #neural-net #image-generation

• Explainable Reasoning over Knowledge Graphs for Recommendation

  (www.ebayinc.com)

  #data-science #big-data #neural-net #graph-processing

• Analyzing Twitch chat during a Pokémon Marathon

  (blog.twitch.tv)

  #data-science #data-analytics #statistics

• Introducing Feast

  (towardsdatascience.com)

  #data-science #machine-learning #DBMS #big-data

• Soft Actor-Critic: Deep Reinforcement Learning for Robotics

  (ai.googleblog.com)

  #deep-learning #data-science #hardware #research #robotics

• Empowering Data Science with Engineering Education

  (medium.com)

  #data-science #software-engineering #scaling #practices

• Attn: Illustrated Attention

  (towardsdatascience.com)

  #data-science #NLP #neural-net #visualisation

• Presentation: Reasoning About Uncertainty at Scale

  (www.infoq.com)

  #data-science #machine-learning #scaling

• Machine Learning-Powered Search Ranking of Airbnb Experiences

  (medium.com)

  #data-science #machine-learning #search

• Trends in AI: NeurIPS 2018

  (engineering.linkedin.com)

  #data-science #AI #machine-learning #research

• Interpretable Machine learning : Part I

  (medium.com)

  #data-science #machine-learning #visualisation

• Manifold: A Model-Agnostic Visual Debugging Tool for Machine Learning at Uber

  (eng.uber.com)

  #dev-tools #data-science #machine-learning #visualisation

• Q-LocalSearch

  (towardsdatascience.com)

  #data-science #machine-learning #math

• Natural Language Processing and Content Analysis at Condé Nast, Part 2: System Architecture

  (technology.condenast.com)

  #data-science #software-architecture #NLP #text-analysis

• Creating a Zoo of Atari-Playing Agents to Catalyze the Understanding of Deep Reinforcement Learning

  (eng.uber.com)

  #deep-learning #data-science #machine-learning #research

• Capture the Essence of Any Video: Visualize its Subtitles as a Graph

  (towardsdatascience.com)

  #data-science #NLP #graph-processing #video-processing

• A Deep Dive Into Data Quality

  (towardsdatascience.com)

  #data-science #SQL #big-data

• POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions through the Paired Open-Ended Trailblazer

  (eng.uber.com)

  #data-science #AI #machine-learning #research

• ELMo: Contextual language embedding

  (towardsdatascience.com)

  #data-science #search #NLP #text-analysis

• Fine-tuning for Natural Language Processing

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #NLP

• Data Science Project Flow for Startups

  (towardsdatascience.com)

  #data-pipeline #data-science #software-engineering

• Scaling Machine Learning Productivity at LinkedIn

  (engineering.linkedin.com)

  #data-science #software-engineering #machine-learning #scaling

• Advanced Jupyter Notebooks: A Tutorial

  (www.dataquest.io)

  #dev-tools #data-science #python #visualisation #Jupyter

• Understanding how IME (Shapley Values) explains predictions

  (towardsdatascience.com)

  #data-science #machine-learning #math

• Understanding High Dimensional Spaces in Machine Learning

  (towardsdatascience.com)

  #data-science #machine-learning #algorithms

• Understanding how LIME explains predictions

  (towardsdatascience.com)

  #data-science #machine-learning #image-processing #algorithms

• Generating Haiku with Deep Learning

  (towardsdatascience.com)

  #deep-learning #data-science #neural-net

• Nevergrad: An open source tool for derivative-free optimization

  (code.fb.com)

  #data-science #machine-learning #python #math

• Presentation: Human-centric Machine Learning Infrastructure @Netflix

  (www.infoq.com)

  #data-science #infra #machine-learning #HCI

• What is neural architecture search?

  (www.oreilly.com)

  #data-science #AI #search #neural-net

• Beyond “How May I Help you? “

  (medium.com)

  #data-science #machine-learning #NLP #research

• Lessons Learned at Instagram Stories and Feed Machine Learning

  (instagram-engineering.com)

  #data-science #software-engineering #machine-learning

• Deconstructing BERT: Distilling 6 Patterns from 100 Million Parameters

  (towardsdatascience.com)

  #data-science #NLP #visualisation #research

• Real Time Video Neural Style Transfer

  (towardsdatascience.com)

  #data-science #real-time #neural-net #video-processing #image-generation

• CatBoost Enables Fast Gradient Boosting on Decision Trees Using GPUs

  (devblogs.nvidia.com)

  #data-science #machine-learning #algorithms #GPU

• Kubernetes For AI Hyperparameter Search Experiments

  (devblogs.nvidia.com)

  #data-science #software-architecture #GPU #kubernetes

• On integrating symbolic inference into deep neural networks

  (towardsdatascience.com)

  #deep-learning #data-science #neural-net #research

• Designing Turbofan Tycoon

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #visualisation #simulation

• Deep image understanding at Carousell

  (medium.com)

  #deep-learning #data-science #image-processing

• Explained: GPipe — Training Giant Neural Nets using Pipeline Parallelism

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net

• Technical workflow: Building transportation scenarios for accessibility analysis

  (towardsdatascience.com)

  #data-science #visualisation #GeoData #maps

• Tag-based Navigation of a Fashion Catalog

  (jobs.zalando.com)

  #data-science #algorithms #big-data #graph-processing

• How to Get a Better GAN (Almost) for Free: Introducing the Metropolis-Hastings GAN

  (eng.uber.com)

  #data-science #machine-learning #optimisation #neural-net

• Handling Imbalanced Datasets in Deep Learning

  (towardsdatascience.com)

  #deep-learning #data-science #big-data

• 3D Visualization of NN layers with TensorSpace.js

  (towardsdatascience.com)

  #data-science #neural-net #internals #visualisation

• Presentation: Big Data and Deep Learning: A Tale of Two Systems

  (www.infoq.com)

  #deep-learning #data-science #machine-learning #big-data

• How to deal with the seasonality of a market?

  (eng.lyft.com)

  #data-science #algorithms #analytics

• Breaking the Boundaries of Intelligent Video Analytics with DeepStream SDK 3.0

  (devblogs.nvidia.com)

  #deep-learning #data-science #analytics #video-processing

• Doing Machine Learning the Uber Way: Five Lessons From the First Three Years of Michelangelo

  (towardsdatascience.com)

  #data-science #software-engineering #machine-learning #visualisation

• BERT Explained: State of the art language model for NLP

  (towardsdatascience.com)

  #data-science #AI #machine-learning #NLP

• A Deeper Look into Embeddings — A Linguistic Approach

  (towardsdatascience.com)

  #data-science #NLP #research #word2vec

• WaveNet: Google Assistant’s Voice Synthesizer.

  (towardsdatascience.com)

  #data-science #AI #NLP #neural-net #audio-processing

• Making floating point math highly efficient for AI hardware

  (code.fb.com)

  #data-science #AI #performance #hardware #systems

• Making beats with generative design

  (becominghuman.ai)

  #data-science #AI #audio-processing #music

• Empowering personalized marketing with machine learning

  (eng.lyft.com)

  #data-science #machine-learning #analytics #personalisation

• Linear Regression in Real Life

  (www.dataquest.io)

  #data-science #data-analytics #math

• Deep (Double) Q-Learning

  (towardsdatascience.com)

  #deep-learning #data-science #AI #machine-learning

• Horizon: The first open source reinforcement learning platform for large-scale products and services

  (code.fb.com)

  #data-science #machine-learning #scaling #big-data

• Scaling Machine Learning at Uber with Michelangelo

  (eng.uber.com)

  #data-science #software-architecture #machine-learning #scaling

• Facebook Research at EMNLP

  (research.fb.com)

  #data-science #machine-learning #NLP #research

• How Does This Article Make You Feel?

  (open.nytimes.com)

  #data-science #machine-learning #NLP #text-analysis

• Google at EMNLP 2018

  (ai.googleblog.com)

  #data-science #machine-learning #NLP #research

• Deep Learning for Classifying Hotel Aesthetics Photos

  (devblogs.nvidia.com)

  #deep-learning #data-science #image-processing #classifier

• Presentation: Implementing AutoML Techniques at Salesforce Scale

  (www.infoq.com)

  #data-science #machine-learning #scaling

• Uber Introduces PyML: Their Secret Weapon for Rapid Machine Learning Development

  (towardsdatascience.com)

  #data-science #machine-learning #big-data #python

• Demystifying Convolutional Neural Networks

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net

• Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model Development

  (eng.uber.com)

  #data-science #AI #machine-learning #NLP

• Learning neural network architectures

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net

• Applying Customer Feedback: How NLP & Deep Learning Improve Uber’s Maps

  (eng.uber.com)

  #deep-learning #data-science #NLP #maps

• Pylift: A Fast Python Package for Uplift Modeling

  (tech.wayfair.com)

  #data-science #data-analytics #python

• RAPIDS Accelerates Data Science End-to-End

  (devblogs.nvidia.com)

  #data-science #performance #GPU

• How We Use Machine Learning and Natural Language Processing to Empower Search

  (tech.wayfair.com)

  #data-science #machine-learning #search #NLP

• Improving AI language understanding by combining multiple word representations

  (code.fb.com)

  #data-science #NLP #text-analysis #research

• Open Sourcing Active Question Reformulation with Reinforcement Learning

  (ai.googleblog.com)

  #data-science #machine-learning #NLP #research

• Using LDA to Build a Missing Yelp Feature

  (towardsdatascience.com)

  #data-science #machine-learning #python #maps

• Mixed Precision Training for NLP and Speech Recognition with OpenSeq2Seq

  (devblogs.nvidia.com)

  #data-science #NLP #GPU #audio-processing

• Review: DeconvNet — Unpooling Layer (Semantic Segmentation)

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net #research

• Consistently Beautiful Visualizations with Altair Themes

  (towardsdatascience.com)

  #data-science #analytics #python #visualisation

• Machine Learning for Cybersecurity 101

  (towardsdatascience.com)

  #data-science #machine-learning #security

• Beyond DQN/A3C: A Survey in Advanced Reinforcement Learning

  (towardsdatascience.com)

  #data-science #AI #machine-learning #neural-net

• Building Google Dataset Search and Fostering an Open Data Ecosystem

  (ai.googleblog.com)

  #data-science #AI #big-data #semantic-data

• Experimentation & Measurement for Search Engine Optimization

  (medium.com)

  #data-science #analytics #AB-Testing #SEO

• Illustrated Guide to LSTM’s and GRU’s: A step by step explanation

  (towardsdatascience.com)

  #data-science #machine-learning #visualisation

• Using Machine Learning to Auto Detect Column Types in Customer Files

  (liveramp.com)

  #data-science #machine-learning #NLP

• Google’s Next Generation Music Recognition

  (ai.googleblog.com)

  #signal-processing #data-science #audio-processing

• Deep learning made easier with transfer learning

  (blog.fastforwardlabs.com)

  #deep-learning #data-science #neural-net

• Decrypt Generative Artificial Intelligence and GANs

  (towardsdatascience.com)

  #data-science #AI #neural-net

• Open Sourcing TonY: Native Support of TensorFlow on Hadoop

  (engineering.linkedin.com)

  #data-science #big-data #tensor-flow #hadoop

• Expanding automatic machine translation to more languages

  (code.fb.com)

  #data-science #machine-learning #NLP

• Scaling neural machine translation to bigger data sets with faster training and inference

  (code.fb.com)

  #data-science #machine-learning #big-data

• Putting the Power of Kafka into the Hands of Data Scientists

  (multithreaded.stitchfix.com)

  #stream-processing #data-science #apache-kafka #analytics

• The Future with Reinforcement Learning

  (towardsdatascience.com)

  #data-science #machine-learning #algorithms

• eCommerce Transformed: Cognitive Services and the Future

  (www.pubnub.com)

  #data-science #AI #NLP #bots

• Detection and Segmentation through ConvNets

  (towardsdatascience.com)

  #data-science #image-processing #neural-net #classifier

• Resume Assistant: The Collaboration Between Microsoft and LinkedIn

  (engineering.linkedin.com)

  #data-science #software-engineering #software-architecture

• Resume Assistant: Finding High-Quality Work Experience Examples

  (engineering.linkedin.com)

  #data-science #software-architecture #NLP

• Multi-Agent Reinforcement Learning in Beer Distribution Game

  (towardsdatascience.com)

  #data-pipeline #data-science #algorithms

• fastText++: Batteries Included

  (towardsdatascience.com)

  #data-science #text-analysis #word2vec

• Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research

  (ai.googleblog.com)

  #data-science #machine-learning #research

• Scaling Uber’s Customer Support Ticket Assistant (COTA) System with Deep Learning

  (eng.uber.com)

  #data-pipeline #deep-learning #data-science #software-architecture

• Part 2: Scheduling Notebooks at Netflix

  (medium.com)

  #dev-tools #data-science #visualisation

• Building Machine Learning Engineering Tools

  (towardsdatascience.com)

  #dev-tools #data-science #software-engineering #machine-learning

• Optimizing TV Advertising Toward Return on Investment

  (tech.wayfair.com)

  #data-science #data-analytics

• Uncertainty for CTR Prediction: One Model to Clarify Them All

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net

• A simple and intuitive explanation of Hinton’s Capsule Networks

  (towardsdatascience.com)

  #deep-learning #data-science #math

• Schooling Flappy Bird: A Reinforcement Learning Tutorial

  (www.toptal.com)

  #data-science #machine-learning #neural-net

• Airbnb Engineering and Data Science at KDD 2018

  (medium.com)

  #data-science #machine-learning #research

• Explain Neural Arithmetic Logic Units (NALU)

  (becominghuman.ai)

  #data-science #neural-net #math

• Facebook Research at KDD 2018

  (research.fb.com)

  #deep-learning #data-science #machine-learning #research

• Machine learning for production optimization

  (towardsdatascience.com)

  #data-science #machine-learning #optimisation

• Beyond Interactive: Notebook Innovation at Netflix

  (medium.com)

  #dev-tools #data-science #HCI

• Introduction to Word Embeddings

  (towardsdatascience.com)

  #data-science #machine-learning #NLP

• Parallelizing Feature Engineering with Dask

  (towardsdatascience.com)

  #data-science #big-data #python #parallel-computing

• PinSage: A New Graph Convolutional Neural Network for Web-Scale Recommender Systems

  (medium.com)

  #data-science #scaling #neural-net #recommender

• RedBlackPy — fast and scalable Series for scientific and quantitative research in Python

  (towardsdatascience.com)

  #data-science #algorithms #data-structures

• Learning Market Dynamics for Optimal Pricing

  (medium.com)

  #data-science #data-analytics #big-data

• MnasNet: Towards Automating the Design of Mobile Machine Learning Models

  (ai.googleblog.com)

  #data-science #machine-learning #mobile #research

• Progress in machine learning interpretability

  (blog.fastforwardlabs.com)

  #data-science #machine-learning

• Graphs and paths: PageRank.

  (towardsdatascience.com)

  #data-science #algorithms #graph-processing

• Recommending blog posts with machine learning

  (robots.thoughtbot.com)

  #data-science #NLP #text-analysis #recommender

• Improving Operations with Route Optimization

  (towardsdatascience.com)

  #data-science #algorithms #optimisation

• Differentiable Image Parameterizations

  (distill.pub)

  #data-science #neural-net #visualisation

• Fingerprinting fraudulent behavior

  (eng.lyft.com)

  #data-science #machine-learning #classifier

• Understanding Word Embeddings

  (hackernoon.com)

  #data-science #machine-learning #NLP

• Deep learning for specific information extraction from unstructured texts

  (towardsdatascience.com)

  #deep-learning #data-science #NLP #text-analysis

• Faster Deep Learning: Optimal DNN Primitives

  (towardsdatascience.com)

  #deep-learning #data-science #performance

• Robust Factorization Machines

  (medium.com)

  #data-science #machine-learning #research

• 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)

  #data-science #machine-learning

• Improving Connectomics by an Order of Magnitude

  (ai.googleblog.com)

  #data-science #machine-learning #tensor-flow #biotech

• Understanding model predictions with LIME

  (towardsdatascience.com)

  #data-science #machine-learning #classifier

• Modeling User Journeys via Semantic Embeddings

  (codeascraft.com)

  #data-science #NLP #text-analysis #word2vec

• Gefilter Fish: Finding concise topics from Amazon’s customer reviews

  (blog.insightdatascience.com)

  #data-science #machine-learning #text-analysis

• An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

  (eng.uber.com)

  #data-science #machine-learning #neural-net

• From shallow to deep learning in fraud

  (eng.lyft.com)

  #deep-learning #data-science #data-analytics

• Presentation: Google Dataflow Codelab

  (www.infoq.com)

  #dev-tools #data-science #data-visualisation

• A Deep Dive into Reinforcement Learning

  (www.toptal.com)

  #data-science #AI #machine-learning

• The unreasonable effectiveness of Deep Learning Representations

  (blog.insightdatascience.com)

  #deep-learning #data-science #AI

• Transforming Financial Forecasting with Data Science and Machine Learning at Uber

  (eng.uber.com)

  #data-pipeline #data-science #machine-learning

• Introduction to Model Trees

  (towardsdatascience.com)

  #data-science #AI #machine-learning

• Add Constrained Optimization To Your Toolbelt

  (multithreaded.stitchfix.com)

  #data-science #optimisation #math #statistics

• Understanding Latent Style

  (multithreaded.stitchfix.com)

  #data-science #machine-learning #python

• Advanced DQNs: Playing Pac-man with Deep Reinforcement Learning

  (towardsdatascience.com)

  #deep-learning #data-science #AI

• Introduction to Sequence Models — RNN, Bidirectional RNN, LSTM, GRU

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net

• Add Constrained Optimization To Your Toolbelt

  (multithreaded.stitchfix.com)

  #data-science #math #statistics

• Fantastic Models and how to Train Them

  (towardsdatascience.com)

  #data-science #machine-learning

• How Can Neural Network Similarity Help Us Understand Training and Generalization?

  (ai.googleblog.com)

  #data-science #neural-net #research

• RNN or Recurrent Neural Network for Noobs

  (hackernoon.com)

  #data-science #machine-learning #neural-net

• Turning Fortnite into PUBG with Deep Learning (CycleGAN)

  (towardsdatascience.com)

  #data-science #machine-learning #GAN

• AutoEncoders and Parallel Computing with KernelML

  (towardsdatascience.com)

  #data-science #machine-learning #parallel-computing

• Convolutional Neural Networks from the ground up

  (towardsdatascience.com)

  #data-science #neural-net #python

• Real-time Streaming Pattern: Preprocessing for Sentiment Analysis

  (blog.wallaroolabs.com)

  #stream-processing #data-science #pipeline #real-time

• Advanced Technologies for Detecting and Preventing Fraud at Uber

  (eng.uber.com)

  #data-science #machine-learning #classifier

• Twitter meets TensorFlow

  (blog.twitter.com)

  #deep-learning #data-science #machine-learning #tensor-flow

• Caviar’s Food Recommendation Platform

  (medium.com)

  #data-science #software-design #software-architecture #recommender

• Presentation: Analyzing & Preventing Unconscious Bias in Machine Learning

  (www.infoq.com)

  #data-science #machine-learning

• Travel Time Optimization With Machine Learning And Genetic Algorithm

  (towardsdatascience.com)

  #data-science #machine-learning #optimisation

• Everywhere You Look: Computer Vision at Wayfair

  (tech.wayfair.com)

  #data-science #image-processing #search #analytics

• Reinforcement Learning from scratch

  (blog.insightdatascience.com)

  #data-science #machine-learning

• Code2Pix - Deep Learning Compiler for Graphical User Interfaces

  (towardsdatascience.com)

  #deep-learning #data-science #AI #UI

• Introduction to Clinical Natural Language Processing: Predicting Hospital Readmission with…

  (towardsdatascience.com)

  #data-science #machine-learning #NLP

• How are Logistic Regression & Ordinary Least Squares Regression Related?

  (towardsdatascience.com)

  #data-science #data-analytics #math

• Intuitively Understanding Convolutions for Deep Learning

  (towardsdatascience.com)

  #deep-learning #data-science #neural-net

• A modified Artificial Bee Colony algorithm to solve Clustering problems

  (towardsdatascience.com)

  #data-science #algorithms #data-analytics

• The Duplicate Review Tool: Incorporating Visual Search into Merchandising Operations

  (tech.wayfair.com)

  #data-science #data-analytics #search

• Understanding Convolutional Neural Networks

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net

• Wide Residual Networks with Interactive Code

  (towardsdatascience.com)

  #deep-learning #data-science #neural-net

• Data Retrieval and Cleaning: Tracking Migratory Patterns

  (www.dataquest.io)

  #data-science #big-data

• Categorizing Listing Photos at Airbnb

  (medium.com)

  #deep-learning #data-science #data-analytics

• An Introduction to Recurrent Neural Networks

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net

• CatGAN: cat face generation using GANs

  (hackernoon.com)

  #data-science #image-generation #GAN

• Reinforcement Learning Demystified: Solving MDPs with Dynamic Programming

  (towardsdatascience.com)

  #data-science #machine-learning #math

• Advances in Semantic Textual Similarity

  (ai.googleblog.com)

  #data-science #machine-learning #NLP #research

• Automating Customer Feedback with Machine Learning

  (blog.codeship.com)

  #data-science #machine-learning #NLP

• Smart Compose: Using Neural Networks to Help Write Emails

  (ai.googleblog.com)

  #data-science #machine-learning #NLP #text-analysis

• Hyperparameter Optimization with Keras

  (towardsdatascience.com)

  #data-science #machine-learning #keras

• Automatic Photography with Google Clips

  (ai.googleblog.com)

  #data-science #machine-learning #image-processing

• Custom Loss functions for Deep Learning: Predicting Home Values with Keras for R

  (towardsdatascience.com)

  #data-science #machine-learning #keras #math

• Using Evolutionary AutoML to Discover Neural Network Architectures

  (ai.googleblog.com)

  #data-science #machine-learning #neural-net

• Automated Company Keyword Extraction

  (eng.datafox.com)

  #data-science #NLP #text-analysis

• Introducing Semantic Experiences with Talk to Books and Semantris

  (ai.googleblog.com)

  #data-science #NLP #text-analysis #semantic-data

• Looking to Listen: Audio-Visual Speech Separation

  (ai.googleblog.com)

  #data-science #audio-processing #research #video-processing

• Predict Product Success using NLP models

  (towardsdatascience.com)

  #data-science #machine-learning #NLP

• Facebook’s Field Guide to Machine Learning video series

  (research.fb.com)

  #data-science #machine-learning

• Intelligent Payment Routing

  (towardsdatascience.com)

  #data-science #algorithms

• Implementing HyperLogLog in Redshift and Tableau

  (tech.instacart.com)

  #data-science #algorithms #analytics #visualisation

• 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)

  #data-science #machine-learning

• Hyper-parameters in Action! Introducing DeepReplay

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net #internals

• Uplift Modeling in Display Remarketing

  (tech.wayfair.com)

  #data-science #data-analytics #marketing #math

• Optimal Coupon Targeting for Grocery Items: an Instacart Case Study

  (towardsdatascience.com)

  #data-science #machine-learning

• Toward the Jet Age of machine learning

  (www.oreilly.com)

  #data-science #machine-learning

• Measuring the Intrinsic Dimension of Objective Landscapes

  (eng.uber.com)

  #data-science #AI #machine-learning

• Mediation Modeling at Uber: Understanding Why Product Changes Work (and Don’t Work)

  (eng.uber.com)

  #data-science #software-engineering #machine-learning

• Visualize your music DNA with Data

  (deezer.io)

  #data-science #data-visualisation #fun

• Tensorflow for Manufacturing Quality Control

  (towardsdatascience.com)

  #data-science #machine-learning

• Quantifying Effort through Heart Rate Data

  (medium.com)

  #data-science #data-analytics #biotech

• Seeing More with In Silico Labeling of Microscopy Images

  (research.googleblog.com)

  #data-science #machine-learning #image-processing #classifier

• MobileNetV2: Inverted Residuals and Linear Bottlenecks

  (towardsdatascience.com)

  #data-science #data-analytics

• Hyper-parameters in action!

  (towardsdatascience.com)

  #deep-learning #data-science #machine-learning

• Visualizing Beethoven’s Oeuvre, Part I: Scraping and cleaning data from IMSLP

  (towardsdatascience.com)

  #data-science #python #audio-processing

• Lumpers and Splitters: Tensions in Taxonomies

  (multithreaded.stitchfix.com)

  #data-science #data-analytics

• MobileNetV2: The Next Generation of On-Device Computer Vision Networks

  (research.googleblog.com)

  #data-science #image-processing #mobile #CV

• Renko brick size optimization

  (towardsdatascience.com)

  #data-science #algorithms #data-analytics

• Entity extraction using Deep Learning

  (towardsdatascience.com)

  #deep-learning #data-science #python

• Scaling Machine Learning to Recommend Driving Routes

  (engineering.pivotal.io)

  #data-science #machine-learning #recommender

• [Podcast] The Rising Threat of Content Abuse

  (blog.siftscience.com)

  #data-science #data-analytics #podcast

• Variational Inference: Ising Model

  (towardsdatascience.com)

  #data-science #python #math

• Data Science and the Art of Producing Entertainment at Netflix

  (medium.com)

  #data-science #media

• Music by means of natural selection

  (towardsdatascience.com)

  #deep-learning #data-science #machine-learning

• The Building Blocks of Interpretability

  (distill.pub)

  #data-science #machine-learning

• Black-Box Attacks on Perceptual Image Hashes with GANs

  (towardsdatascience.com)

  #data-science #machine-learning #GAN

• How to build a deep learning model in 15 minutes

  (tech.instacart.com)

  #deep-learning #data-science #machine-learning

• Visualizing Archer

  (towardsdatascience.com)

  #data-science #data-visualisation

• A Cornucopia of Area Rugs: Will a Diverse Set of Choices Help Customers Find More of What They Love?

  (tech.wayfair.com)

  #data-science #search #big-data

• Fighting Financial Fraud with Targeted Friction

  (medium.com)

  #data-science #machine-learning #classifier #fintech

• Analyzing Climate Patterns with Self-Organizing Maps (SOMs)

  (towardsdatascience.com)

  #data-science #machine-learning #GeoData

• Introducing capsule networks

  (www.oreilly.com)

  #data-science #machine-learning #neural-net

• Machine learning needs machine teaching

  (www.oreilly.com)

  #data-science #machine-learning #podcast

• Pinterest’s Visual Lens: How computer vision explores your taste

  (towardsdatascience.com)

  #data-science #machine-learning #image-processing #CV

• Exploring Supervised Machine Learning Algorithms

  (www.toptal.com)

  #data-science #machine-learning #algorithms

• Stream all the things

  (www.oreilly.com)

  #data-science #data-stream #backend

• How to write some Walt Whitman style poetry using Deep Learning

  (hackernoon.com)

  #deep-learning #data-science #machine-learning

• 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)

  #data-science #infra #machine-learning #scaling

• Transfer learning: leveraging insights from large data sets

  (towardsdatascience.com)

  #data-science #machine-learning

• Exploring Recommendation Systems

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #recommender

• Understanding Learning Rates and How It Improves Performance in Deep Learning

  (towardsdatascience.com)

  #deep-learning #data-science #math

• Introducing RLlib: A composable and scalable reinforcement learning library

  (www.oreilly.com)

  #data-science #machine-learning #opensource

• Scaling Gradient Boosted Trees for CTR Prediction - Part II

  (engineeringblog.yelp.com)

  #data-science #machine-learning #classifier

• Supervised Machine Learning — Dimensional Reduction and Principal Component Analysis

  (hackernoon.com)

  #data-science #machine-learning #math

• The Art of Effective Visualization of Multi-dimensional Data

  (towardsdatascience.com)

  #data-science #big-data #visualisation

• Understanding and building Generative Adversarial Networks(GANs)- Deep Learning with PyTorch.

  (becominghuman.ai)

  #data-science #machine-learning #GAN

• Introduction to Python Ensembles

  (www.dataquest.io)

  #data-science #machine-learning #python

• The 8 Neural Network Architectures Machine Learning Researchers Need to Learn

  (towardsdatascience.com)

  #data-science #machine-learning #neural-net

• Scaling Gradient Boosted Trees for CTR Prediction - Part I

  (engineeringblog.yelp.com)

  #data-pipeline #data-science #machine-learning #apache-spark

• Using Yelp Data to Predict Restaurant Closure

  (towardsdatascience.com)

  #data-science #machine-learning #classifier

• Transfer learning with MXNet Gluon

  (hackernoon.com)

  #data-science #machine-learning #python #image-generation

• Reinforcement learning with TensorFlow

  (www.oreilly.com)

  #data-science #AI #machine-learning #tensor-flow

• Probability concepts explained: Maximum likelihood estimation

  (towardsdatascience.com)

  #data-science #math #probability

• Priming neural networks with an appropriate initializer.

  (becominghuman.ai)

  #data-science #machine-learning #neural-net

• Introducing pydqc

  (towardsdatascience.com)

  #dev-tools #data-science #data-analytics #python

• Various Implementations of Collaborative Filtering

  (towardsdatascience.com)

  #data-science #machine-learning #recommender

• Semi-supervised Learning with GANs

  (towardsdatascience.com)

  #data-science #AI #machine-learning #GAN

• From Perceptron to Deep Neural Nets

  (becominghuman.ai)

  #deep-learning #data-science #neural-net

• Introduction to Deep Learning Trading in Hedge Funds

  (www.toptal.com)

  #deep-learning #data-science #analytics #fintech

• An applied introduction to generative adversarial networks

  (www.oreilly.com)

  #data-science #AI #GAN

• Uncovering hidden patterns through machine learning

  (www.oreilly.com)

  #data-science #machine-learning #data-analytics

• Setting up a Machine Learning Framework for Production

  (code.hootsuite.com)

  #data-science #infra #machine-learning

• Topic Modeling

  (medium.com)

  #data-science #machine-learning #visualisation

• Welcoming the Era of Deep Neuroevolution

  (eng.uber.com)

  #deep-learning #data-science #AI #research

• Towards Automatic Icon Design Using Machine Learning

  (becominghuman.ai)

  #data-science #machine-learning #image-generation

• Making Sentiment Analysis Easy With Scikit-Learn

  (twilioinc.wpengine.com)

  #data-science #machine-learning #NLP

• Deep Learning Scaling is Predictable, Empirically

  (research.baidu.com)

  #deep-learning #data-science #research

• Regular Expressions for Data Scientists

  (www.dataquest.io)

  #data-science #text-analysis #regex

• Recommending Visually Similar Products Using Content Based Features

  (tech.wayfair.com)

  #data-science #machine-learning #image-processing #recommender

• Building Data Science Pipelines with Luigi and Jupyter Notebooks

  (intoli.com)

  #data-pipeline #data-science #visualisation #Jupyter

• Sequence Modeling with CTC

  (distill.pub)

  #data-science #machine-learning #math

• Representation learning and language

  (becominghuman.ai)

  #deep-learning #data-science #AI #machine-learning

• [Episode 01] Airbnb, Machine Learning & the Future of Travel

  (mesosphere.com)

  #data-science #AI #machine-learning #big-data #podcast

• A sub-optimal approach for predicting real estate prices by Zillow

  (becominghuman.ai)

  #data-science #machine-learning #data-analytics

• SLING: A Natural Language Frame Semantic Parser

  (research.googleblog.com)

  #data-science #NLP #research #parsing

• Create Data from Random Noise with Generative Adversarial Networks

  (www.toptal.com)

  #data-science #AI #machine-learning

• Zalando's Smart Product Platform

  (jobs.zalando.com)

  #data-science #image-processing #data-analytics

• Anomaly detection for writing styles

  (blog.insightdatascience.com)

  #data-science #machine-learning #analytics #classifier

• Improving Real-Time Object Detection with YOLO

  (blog.statsbot.co)

  #data-science #machine-learning #image-processing

• Bayesian Nonparametrics

  (blog.statsbot.co)

  #data-science #machine-learning #data-analytics

• Airflow: The Missing Context

  (hackernoon.com)

  #data-science #big-data #crawling

• Catching up: The Near-future of Commercial AI

  (blog.insightdatascience.com)

  #deep-learning #data-science #machine-learning

• Interactions in fraud experiments: A case study in multivariable testing

  (eng.lyft.com)

  #data-science #auth #AB-Testing

• Singular Value Decomposition (SVD) Tutorial: Applications, Examples, Exercises

  (blog.statsbot.co)

  #data-science #machine-learning #analytics #math

• Globally Normalized Reader

  (research.baidu.com)

  #data-science #machine-learning #NLP #research

• Crowdwork for Machine Learning: An Autoethnography

  (blog.fastforwardlabs.com)

  #data-science #machine-learning #opinion

• 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)

  #data-science #machine-learning #algorithms

• Customizing Docker Images in Cloudera Data Science Workbench

  (blog.cloudera.com)

  #data-science #containers #docker

• Dynamic Information Retrieval Modeling

  (becominghuman.ai)

  #data-science #data-analytics #information-retrieval

• The curious connection between warehouse maps, movie recommendations, and structural biology

  (multithreaded.stitchfix.com)

  #data-science #analytics #visualisation

• Generative Adversarial Networks (GANs): Engine and Applications

  (blog.statsbot.co)

  #data-science #AI #machine-learning

• Prophecy Fulfilled: Keras and Cloudera Data Science Workbench

  (blog.cloudera.com)

  #data-science #machine-learning #python #keras

• Data Science Simplified: Principles and Process

  (becominghuman.ai)

  #data-science #AI #machine-learning

• The data engineering ecosystem in 2017

  (blog.insightdatascience.com)

  #dev #data-pipeline #data-science