Curated ML/AI Resources for MITxHarvard Women in AI members.
Have a suggestion to contribute? Please make a pull request (PR) or send an email to: wai_exec@mit.edu
Credits: Eugene Yan (https://eugeneyan.com), Suyash Shekhar (http://suyash.dev), Chris Dryden (http://chrisdryden.com)
Table of Contents
- Python
- Markdown
- Linux
- Version Control
- Intro to AI for Beginners
- Intro to AI for non-STEM
- Interviewing for Jobs
- Outreach
- Industry Internships
- Industry Lessons Learned
- Cheat Sheets
- Mathematics of ML
- Deep Learning
- Forecasting
- Recommendation
- Search
- Natural Language Processing
- Sequence Modelling
- Computer Vision
- Reinforcement Learning
- Anomaly Detection
- Knowledge Graphs
- Information Extraction
- Weak Supervision
- MLOps
- Explainable and Interpretable AI
- Ethics
More to come!!
- Learn X in Y minutes
- Machine Learning in Python
Springboard
- VIDEO: Learn Python in 1 Hour
- VIDEO: Python Tutorial for Beginners
- VIDEO: Python Crash Course for Beginners
- Mastering Markdown
GitHub
- Markdown Tutorial
- VIDEO: Markdown Crash Course
- VIDEO: Markdown Tips & Tricks 2022
codeSTACKr
- Linux Command Line Basics
Udacity
- Introduction to Linux
Linux Foundation
- VIDEO: Intro to the Command Line - BASH Basics
- VIDEO: Beginner's Guide to the Bash Terminal
- An Intro to Git and GitHub for Beginners
HubSpot
- Learn Git Branching
- Git Cheat Sheet
GitHub
- VIDEO: Github Crash Course
- VIDEO: Learn Git in 15 Minutes
- Machine Learning
Stanford
- ML for Beginners
Microsoft
- ML Glossary
Cruise
- [Introduction to Machine Learning](Introduction to Machine Learning Course)
Udacity
- Artifical Intelligence
Georgia Tech
- Secure and Private AI
Facebook AI
- Machine Learning
Georgia Tech
- Introduction to Machine Learning
LMU
- VIDEO: Machine Learning
Stanford
- VIDEO: Artificial Intelligence
MIT
- VIDEO: Introduction to Artificial Intelligence
Berkeley
- VIDEO: Introduction to Artificial Intelligence
Udacity
- VIDEO: Introduction to Machine Learning
DataSchool
- AI for Everyone
DeepLearning.ai
- Intro to Artificial Intelligence
Udacity
- Introduction to Artificial Intelligence
IBM
- AI Foundations for Everyone
IBM
- How artificial intelligence is transforming the world
Brookings
- VIDEO: Artificial Intelligence is the New Electricity
Stanford
- VIDEO: The State of Artificial Intelligence
MIT
- VIDEO: AI for Everyone
Deeplearning.ai
- ML Interview Study Plan
- An Enlightening Guide to Machine Learning Interviews
- Tech Interview Handbook
- Coding Interview University
- Awesome Interview Questions
Doppler
- VIDEO: Ace the Machine Learning Interview
- VIDEO: Ace the Data Science Interview
- Boston After School and Beyond
- Outreachy
Outreachy
- NPower
NPower
- Hour of Code
- Volunteer for Code for Democracy
- Summer 2022 Tech Internships
Pitt CSC
- Tips for Computer Science Internship Interviews
- How to Land a Top-notch Tech Internship — and a Tech Job — While You’re Still in School
FreeCodeCamp
- How to Talk About Your Side Projects
FreeCodeCamp
- Singapore Tech Internships
- Canadian Tech Internships for Summer 2022
- Interships - What you need to know
- Playing the Internship Game
- VIDEO: How To Get a Machine Learning Internship in 2021
- Successes and Challenges in Adopting Machine Learning at Scale at a Global Bank
Rabobank
- Challenges in Deploying Machine Learning: a Survey of Case Studies (Paper)
Cambridge
- The problem with AI developer tools for enterprises
Databricks
- Building Scalable and Performant Marketing ML Systems at Wayfair
Wayfair
- On Challenges in Machine Learning Model Management
Amazon
- Deep Learning in Production
- VIDEO: Conducting Fundamental ML Research as a Nonprofit
Weights and Biases
- PySpark Cheat Sheet
Datacamp
- Pandas Cheat Sheet
Datacamp
- Numpy Cheat Sheet
Datacamp
- Keras Cheat Sheet
Datacamp
- Matplotlib Cheat Sheet
Datacamp
- Scikit-learn Cheat Sheet
Datacamp
- Seaborn Cheat Sheet
Datacamp
- SpaCy Cheat Sheet
Datacamp
- SciPy Cheat Sheet
Datacamp
- Mathematics of Machine Learning
- Computational Linear Algebra
fast.ai
- Mathematics of Machine Learning
MIT
- Mathematics for Machine Learning
Imperial College
- VIDEO: A friendly introduction to linear algebra for ML
X
- Deep Learning
MIT
- Dive into Deep Learning
Amazon
- Deep Learning
DeepLearning.ai
- Deep Learning Roadmap
- VIDEO: Nuts and Bolts of Deep Learning
- VIDEO: Foundations of Deep Learning
- VIDEO: Foundations and Challenges of Deep Learning
- VIDEO: Intro to Deep Learning
MIT
- VIDEO: Deep Learning
Oxford
- VIDEO: Neural Networks for Deep Learning
UToronto
- Forecasting at Uber: An Introduction
Uber
- Engineering Extreme Event Forecasting at Uber with RNN
Uber
- Transforming Financial Forecasting with Data Science and Machine Learning at Uber
Uber
- Introducing Orbit, An Open Source Package for Time Series Inference and Forecasting (Paper, Video, Code)
Uber
- Under the Hood of Gojek’s Automated Forecasting Tool
Gojek
- BusTr: Predicting Bus Travel Times from Real-Time Traffic (Paper, Video)
Google
- Retraining Machine Learning Models in the Wake of COVID-19
DoorDash
- Managing Supply and Demand Balance Through Machine Learning
DoorDash
- Automatic Forecasting using Prophet, Databricks, Delta Lake and MLflow (Paper, Code)
Atlassian
- Greykite: A flexible, intuitive, and fast forecasting library
LinkedIn
- VIDEO: Introduction to Forecasting in Machine Learning and Deep Learning
Uber
- VIDEO: Forecast Your Products’ Demand with Machine Learning
LinkedIn
- Amazon.com Recommendations: Item-to-Item Collaborative Filtering (Paper)
Amazon
- Temporal-Contextual Recommendation in Real-Time (Paper)
Amazon
- P-Companion: A Framework for Diversified Complementary Product Recommendation (Paper)
Amazon
- Recommending Complementary Products in E-Commerce Push Notifications (Paper)
Alibaba
- Deep Interest with Hierarchical Attention Network for Click-Through Rate Prediction (Paper)
Alibaba
- Behavior Sequence Transformer for E-commerce Recommendation in Alibaba (Paper)
Alibaba
- TPG-DNN: A Method for User Intent Prediction with Multi-task Learning (Paper)
Alibaba
- PURS: Personalized Unexpected Recommender System for Improving User Satisfaction (Paper)
Alibaba
- SDM: Sequential Deep Matching Model for Online Large-scale Recommender System (Paper)
Alibaba
- Multi-Interest Network with Dynamic Routing for Recommendation at Tmall (Paper)
Alibaba
- Controllable Multi-Interest Framework for Recommendation (Paper)
Alibaba
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction (Paper)
Alibaba
- ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation (Paper)
Alibaba
- Session-based Recommendations with Recurrent Neural Networks (Paper)
Telefonica
- How 20th Century Fox uses ML to predict a movie audience (Paper)
20th Century Fox
- Deep Neural Networks for YouTube Recommendations
YouTube
- Personalized Recommendations for Experiences Using Deep Learning
TripAdvisor
- E-commerce in Your Inbox: Product Recommendations at Scale (Paper)
Yahoo
- Powered by AI: Instagram’s Explore recommender system
Facebook
- Netflix Recommendations: Beyond the 5 stars (Part 1 (Part 2)
Netflix
- Learning a Personalized Homepage
Netflix
- Artwork Personalization at Netflix
Netflix
- To Be Continued: Helping you find shows to continue watching on Netflix
Netflix
- Calibrated Recommendations (Paper)
Netflix
- Marginal Posterior Sampling for Slate Bandits (Paper)
Netflix
- Food Discovery with Uber Eats: Recommending for the Marketplace
Uber
- Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations
Uber
- How Music Recommendation Works — And Doesn’t Work
Spotify
- Music recommendation at Spotify
Spotify
- Recommending Music on Spotify with Deep Learning
Spotify
- For Your Ears Only: Personalizing Spotify Home with Machine Learning
Spotify
- Reach for the Top: How Spotify Built Shortcuts in Just Six Months
Spotify
- Explore, Exploit, and Explain: Personalizing Explainable Recommendations with Bandits (Paper)
Spotify
- Contextual and Sequential User Embeddings for Large-Scale Music Recommendation (Paper)
Spotify
- The Evolution of Kit: Automating Marketing Using Machine Learning
Shopify
- Content Suggestions at Dropbox
Dropbox
- Using Machine Learning to Predict what File you Need Next
Dropbox
- Personalized Recommendations in LinkedIn Learning
LinkedIn
- A Closer Look at the AI Behind Course Recommendations on LinkedIn Learning
LinkedIn
- Learning to be Relevant: Evolution of a Course Recommendation System (PAPER NEEDED)
LinkedIn
- Building a Heterogeneous Social Network Recommendation System
LinkedIn
- How TikTok recommends videos #ForYou
ByteDance
- A Meta-Learning Perspective on Cold-Start Recommendations for Items (Paper)
Twitter
- Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation (Paper)
Twitter
- Zero-Shot Heterogeneous Transfer Learning from RecSys to Cold-Start Search Retrieval (Paper)
Google
- Improved Deep & Cross Network for Feature Cross Learning in Web-scale LTR Systems (Paper)
Google
- Self-supervised Learning for Large-scale Item Recommendations (Paper)
Google
- Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations (Paper)
Google
- Personalized Channel Recommendations in Slack
Slack
- Deep Retrieval: End-to-End Learnable Structure Model for Large-Scale Recommendations (Paper)
ByteDance
- Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation (Paper)
Tencent
- Using AI to Help Health Experts Address the COVID-19 Pandemic
Facebook
- A Case Study of Session-based Recommendations in the Home-improvement Domain (Paper)
Home Depot
- Balancing Relevance and Discovery to Inspire Customers in the IKEA App (Paper)
Ikea
- Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time (Paper)
Pinterest
- How we use AutoML, Multi-task learning and Multi-tower models for Pinterest Ads
Pinterest
- Multi-task Learning for Related Products Recommendations at Pinterest
Pinterest
- Improving the Quality of Recommended Pins with Lightweight Ranking
Pinterest
- Advertiser Recommendation Systems at Pinterest
Pinterest
- Personalized Cuisine Filter Based on Customer Preference and Local Popularity
DoorDash
- How We Built a Matchmaking Algorithm to Cross-Sell Products
Gojek
- On YouTube's Recommendation System
YouTube
- VIDEO: How Recommender Systems Work
Netflix
- VIDEO: How to Design and Build a Recommendation System Pipeline in Python
BioSymmetrics
- Amazon Search: The Joy of Ranking Products (Paper, Video, Code)
Amazon
- Why Do People Buy Seemingly Irrelevant Items in Voice Product Search? (Paper)
Amazon
- Semantic Product Search (Paper)
Amazon
- QUEEN: Neural query rewriting in e-commerce (Paper)
Amazon
- How Lazada Ranks Products to Improve Customer Experience and Conversion
Lazada
- Using Deep Learning at Scale in Twitter’s Timelines
Twitter
- Machine Learning-Powered Search Ranking of Airbnb Experiences
Airbnb
- Applying Deep Learning To Airbnb Search (Paper)
Airbnb
- Managing Diversity in Airbnb Search (Paper)
Airbnb
- Improving Deep Learning for Airbnb Search (Paper)
Airbnb
- Ranking Relevance in Yahoo Search (Paper)
Yahoo
- An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy (Paper)
Etsy
- Learning to Rank Personalized Search Results in Professional Networks (Paper)
LinkedIn
- Entity Personalized Talent Search Models with Tree Interaction Features (Paper)
LinkedIn
- In-session Personalization for Talent Search (Paper)
LinkedIn
- The AI Behind LinkedIn Recruiter Search and recommendation systems
LinkedIn
- Learning Hiring Preferences: The AI Behind LinkedIn Jobs
LinkedIn
- Quality Matches Via Personalized AI for Hirer and Seeker Preferences
LinkedIn
- Understanding Dwell Time to Improve LinkedIn Feed Ranking
LinkedIn
- Ads Allocation in Feed via Constrained Optimization (Paper, Video)
LinkedIn
- Talent Search and Recommendation Systems at LinkedIn (Paper)
LinkedIn
- Understanding Dwell Time to Improve LinkedIn Feed Ranking
LinkedIn
- AI at Scale in Bing
Microsoft
- Query Understanding Engine in Traveloka Universal Search
Traveloka
- The Secret Sauce Behind Search Personalisation
Gojek
- Food Discovery with Uber Eats: Building a Query Understanding Engine
Uber
- Neural Code Search: ML-based Code Search Using Natural Language Queries
Facebook
- Bayesian Product Ranking at Wayfair
Wayfair
- COLD: Towards the Next Generation of Pre-Ranking System (Paper)
Alibaba
- Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search (Paper)
Alibaba
- Graph Intention Network for Click-through Rate Prediction in Sponsored Search (Paper)
Alibaba
- Reinforcement Learning to Rank in E-Commerce Search Engine (Paper)
Alibaba
- Aggregating Search Results from Heterogeneous Sources via Reinforcement Learning (Paper)
Alibaba
- Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search
Alibaba
- Understanding Searches Better Than Ever Before (Paper)
Google
- Shop The Look: Building a Large Scale Visual Shopping System at Pinterest (Paper, Video)
Pinterest
- Driving Shopping Upsells from Pinterest Search
Pinterest
- GDMix: A Deep Ranking Personalization Framework (Code)
LinkedIn
- Bringing Personalized Search to Etsy
Etsy
- Building a Better Search Engine for Semantic Scholar
Allen Institute for AI
- Query Understanding for Natural Language Enterprise Search (Paper)
Salesforce
- How We Used Semantic Search to Make Our Search 10x Smarter
Tokopedia
- Powering Search & Recommendations at DoorDash
DoorDash
- Things Not Strings: Understanding Search Intent with Better Recall
DoorDash
- Query Understanding for Surfacing Under-served Music Content (Paper)
Spotify
- How We Built A Context-Specific Bidding System for Etsy Ads
Etsy
- Query2vec: Search query expansion with query embeddings
GrubHub
- Embedding-based Retrieval in Facebook Search (Paper)
Facebook
- Towards Personalized and Semantic Retrieval for E-commerce Search via Embedding Learning (Paper)
JD
- MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu’s Sponsored Search
Baidu
- Pre-trained Language Model based Ranking in Baidu Search (Paper)
Baidu
- VIDEO: The Data Science Behind Search Engines
Pivotal
- Abusive Language Detection in Online User Content (Paper)
Yahoo
- How Natural Language Processing Helps LinkedIn Members Get Support Easily
LinkedIn
- Building Smart Replies for Member Messages
LinkedIn
- DeText: A deep NLP Framework for Intelligent Text Understanding (Code)
LinkedIn
- Smart Reply: Automated Response Suggestion for Email (Paper)
Google
- Gmail Smart Compose: Real-Time Assisted Writing (Paper)
Google
- SmartReply for YouTube Creators
Google
- Using Neural Networks to Find Answers in Tables (Paper)
Google
- A Scalable Approach to Reducing Gender Bias in Google Translate
Google
- Assistive AI Makes Replying Easier
Microsoft
- AI Advances to Better Detect Hate Speech
Facebook
- A State-of-the-Art Open Source Chatbot (Paper)
Facebook
- A Highly Efficient, Real-Time Text-to-Speech System Deployed on CPUs
Facebook
- Deep Learning to Translate Between Programming Languages (Paper, Code)
Facebook
- Deploying Lifelong Open-Domain Dialogue Learning (Paper)
Facebook
- Introducing Dynabench: Rethinking the way we benchmark AI
Facebook
- Dynaboard: Moving Beyond Accuracy to Holistic Model Evaluation in NLP (Code)
Facebook
- Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting (Paper)
Amazon
- How Gojek Uses NLP to Name Pickup Locations at Scale
Gojek
- Give Me Jeans not Shoes: How BERT Helps Us Deliver What Clients Want
Stitch Fix
- The State-of-the-art Open-Domain Chatbot in Chinese and English (Paper)
Baidu
- PEGASUS: A State-of-the-Art Model for Abstractive Text Summarization (Paper, Code)
Google
- Photon: A Robust Cross-Domain Text-to-SQL System (Paper) (Demo)
Salesforce
- GeDi: A Powerful New Method for Controlling Language Models (Paper, Code)
Salesforce
- Applying Topic Modeling to Improve Call Center Operations
RICOH
- WIDeText: A Multimodal Deep Learning Framework
Airbnb
- How we reduced our text similarity runtime by 99.96%
Microsoft
- Textless NLP: Generating expressive speech from raw audio (Part 1) (Part 2) (Part 3) (Code and Pretrained Models)
Facebook
- VIDEO: CS224: Natural Language Processing with Deep Learning
Stanford
- VIDEO: Deep Learning for Natural Language Processing
Salesforce
- Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction (Paper)
Alibaba
- Search-based User Interest Modeling with Sequential Behavior Data for CTR Prediction (Paper)
Alibaba
- Deep Learning for Electronic Health Records (Paper)
Google
- Deep Learning for Understanding Consumer Histories (Paper)
Zalando
- Continual Prediction of Notification Attendance with Classical and Deep Networks (Paper)
Telefonica
- Using Recurrent Neural Network Models for Early Detection of Heart Failure Onset (Paper)
Sutter Health
- Doctor AI: Predicting Clinical Events via Recurrent Neural Networks (Paper)
Sutter Health
- How Duolingo uses AI in every part of its app
Duolingo
- Leveraging Online Social Interactions For Enhancing Integrity at Facebook (Paper,
- VIDEO: 6.S191 (2018): Sequence Modeling with Neural Networks
MIT
- Categorizing Listing Photos at Airbnb
Airbnb
- Amenity Detection and Beyond — New Frontiers of Computer Vision at Airbnb
Airbnb
- Powered by AI: Advancing product understanding and building new shopping experiences
Facebook
- New AI Research to Help Predict COVID-19 Resource Needs From X-rays (Paper, Model)
Facebook
- Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning
Dropbox
- How we Improved Computer Vision Metrics by More Than 5% Only by Cleaning Labelling Errors
Deepomatic
- A Neural Weather Model for Eight-Hour Precipitation Forecasting (Paper)
Google
- Machine Learning-based Damage Assessment for Disaster Relief (Paper)
Google
- RepNet: Counting Repetitions in Videos (Paper)
Google
- Converting Text to Images for Product Discovery (Paper)
Amazon
- How Disney Uses PyTorch for Animated Character Recognition
Disney
- Image Captioning as an Assistive Technology (Video)
IBM
- AI for AG: Production machine learning for agriculture
Blue River
- AI for Full-Self Driving at Tesla
Tesla
- On-device Supermarket Product Recognition
Google
- Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings (Paper)
Google
- Shop The Look: Building a Large Scale Visual Shopping System at Pinterest (Paper, Video)
Pinterest
- Developing Real-Time, Automatic Sign Language Detection for Video Conferencing (Paper)
Google
- Vision-based Price Suggestion for Online Second-hand Items (Paper)
Alibaba
- Making machines recognize and transcribe conversations in meetings using audio and video
Microsoft
- An Efficient Training Approach for Very Large Scale Face Recognition (Paper)
Alibaba
- Identifying Document Types at Scribd
Scribd
- Semi-Supervised Visual Representation Learning for Fashion Compatibility (Paper)
Walmart
- VIDEO: Deep Learning for Computer Vision
- Practical Reinforcement Learning
Yandex
- Deep Reinforcement Learning for Sponsored Search Real-time Bidding (Paper)
Alibaba
- Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning (Paper)
Alibaba
- Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising (Paper)
Alibaba
- Productionizing Deep Reinforcement Learning with Spark and MLflow
Zynga
- Deep Reinforcement Learning in Production Part1 Part 2
Zynga
- Building AI Trading Systems
Denny Britz
- Reinforcement Learning for On-Demand Logistics
DoorDash
- Reinforcement Learning to Rank in E-Commerce Search Engine (Paper)
Alibaba
- VIDEO: CS234: Reinforcement Learning
Stanford
- VIDEO: Deep Reinforcement Learning
- Detecting Performance Anomalies in External Firmware Deployments
Netflix
- Detecting and Preventing Abuse on LinkedIn using Isolation Forests (Code)
LinkedIn
- Preventing Abuse Using Unsupervised Learning
LinkedIn
- The Technology Behind Fighting Harassment on LinkedIn
LinkedIn
- Uncovering Insurance Fraud Conspiracy with Network Learning (Paper)
Ant Financial
- How Does Spam Protection Work on Stack Exchange?
Stack Exchange
- Auto Content Moderation in C2C e-Commerce
Mercari
- Blocking Slack Invite Spam With Machine Learning
Slack
- Cloudflare Bot Management: Machine Learning and More
Cloudflare
- Anomalies in Oil Temperature Variations in a Tunnel Boring Machine
SENER
- Using Anomaly Detection to Monitor Low-Risk Bank Customers
Rabobank
- Fighting fraud with Triplet Loss
OLX Group
- Facebook is Now Using AI to Sort Content for Quicker Moderation (Alternative)
Facebook
- How AI is getting better at detecting hate speech Part 1, Part 2, Part 3, Part 4
Facebook
- Deep Anomaly Detection with Spark and Tensorflow
- VIDEO: Solve Fraud Challenges with Graph Network and Deep Learning in Hopsworks
Hopsworks
- Building The LinkedIn Knowledge Graph
LinkedIn
- Retail Graph — Walmart’s Product Knowledge Graph
Walmart
- Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations
Uber
- AliGraph: A Comprehensive Graph Neural Network Platform (Paper)
Alibaba
- Scaling Knowledge Access and Retrieval at Airbnb
Airbnb
- Contextualizing Airbnb by Building Knowledge Graph
Airbnb
- Traffic Prediction with Advanced Graph Neural Networks
DeepMind
- SimClusters: Community-Based Representations for Recommendations (Paper, Video)
Twitter
- Metapaths guided Neighbors aggregated Network for Heterogeneous Graph Reasoning (Paper)
Alibaba
- Graph Intention Network for Click-through Rate Prediction in Sponsored Search (Paper)
Alibaba
- JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase (Paper)
JPMorgan Chase
- Graph Convolutional Neural Networks for Web-Scale Recommender Systems (Paper)
Pinterest
- Unsupervised Extraction of Attributes and Their Values from Product Description (Paper)
Rakuten
- Information Extraction from Receipts with Graph Convolutional Networks
Nanonets
- Using Machine Learning to Index Text from Billions of Images
Dropbox
- Extracting Structured Data from Templatic Documents (Paper)
Google
- AutoKnow: self-driving knowledge collection for products of thousands of types (Paper, Video)
Amazon
- One-shot Text Labeling using Attention and Belief Propagation for Information Extraction (Paper)
Alibaba
- Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale (Paper)
Google
- Osprey: Weak Supervision of Imbalanced Extraction Problems without Code (Paper)
Intel
- Overton: A Data System for Monitoring and Improving Machine-Learned Products (Paper)
Apple
- Bootstrapping Conversational Agents with Weak Supervision (Paper)
IBM
- Managing ML Models @ Scale - Intuit’s ML Platform
Intuit
- Operationalizing Machine Learning—Managing Provenance from Raw Data to Predictions
Comcast
- Big Data Machine Learning Platform at Pinterest
Pinterest
- Real-time Machine Learning Inference Platform at Zomato
Zomato
- Meet Michelangelo: Uber’s Machine Learning Platform
Uber
- Building Flexible Ensemble ML Models with a Computational Graph
DoorDash
- LyftLearn: ML Model Training Infrastructure built on Kubernetes
Lyft
- "You Don't Need a Bigger Boat": A Full Data Pipeline Built with Open-Source Tools (Paper)
Coveo
- Core Modeling at Instagram
Instagram
- Open-Sourcing Metaflow - a Human-Centric Framework for Data Science
Netflix
- MLOps at GreenSteam: Shipping Machine Learning
GreenSteam
- Machine Learning in Production: The Booking.com Approach
Booking
- Rules of Machine Learning: Best Practices for ML Engineering
Google
- Continuous Integration and Deployment for Machine Learning Online Serving and Models
Uber
- Tuning Model Performance
Uber
- Awesome MLOps
- Interpretable Machine Learning
- Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Nature
- Alibi Explain
Seldon
- Model Interpretability for Pytorch
Captum
- dalex
DrWhy
- MIT AI Ethics Reading Group
MIT
- Explore AI Ethics
- AI Ethics Resources
fast.ai'
- Ethical AI Resources
- Responsible AI Resources
Microsoft
- A Practical Guide to Building Ethical AI
HBR
- Building Inclusive Products Through A/B Testing (Paper)
LinkedIn
- LiFT: A Scalable Framework for Measuring Fairness in ML Applications (Paper)
LinkedIn
- Ethics in AI and Data Science
Linux Foundation
- Ethics and governance of artificial intelligence for health
WHO