Links
Table of contents
Algorithms
- 6.006 Introduction To Algorithms
- 6.046J Design And Analysis Of Algorithms
- 6.851 Advanced Data Structures
- 6.854J Advanced Algorithms
Blogs
- Airbnb
- Bytebytego
- Byte-Sized Design
- Canva
- Deezer
- Dropbox
- Ebay
- EvidentlyAI
- Etsy
- Expedia
- Flickr
- Giphy
- Hootsuite
- Indeed
- Instacard
- Lambda
- Lyft
- Microsoft
- Netflix
- New York Times
- Nextdoor
- Paypal
- Prezi
- Quastor
- Quora
- Shopify
- Skyscanner
- Soundcloud
- Spotify
- Squareup
- System Design Newsletter
- Swiggy
- Tinder
- TLDR
- The Polymathic Engineer
- Uber
- Wayfair
- Weight and biases
- Vinted
Causality | Interpretable | Explainable | Fairness
- A First Course in Causal Inference
- Applied Causal Inference Powered by ML and AI
- Causal Inference for The Brave and True
- Causal Inference - The Mixtape
- Data 8: The Foundations of Data Science
- Do Why
- Distill
- explained.ai
- Fairness and machine learning
- Interpretable Machine Learning
- inferentialthinking
- Preceptor’s Primer for Bayesian Data Science: Using the Cardinal Virtues for Inference
- Understanding Deep Learning
Data engineering | DBMS
- A guide to Database Performance for Developpers
- 6.5830/6.5831: Database Systems
- MIT Database Systems (6.830) TA Course Notes
- CMU 15-445/645 Database Systems
- CMU 15-721 Advanced Database Systems
- NFE204
- CS 145 Intro to Big Data Systems
- 6.5840: Distributed Systems
Econometris
- 10 Fundamental Theorems for Econometrics
- Introduction to Econometrics
- Introduction to Econometrics with R
- Forecasting: Principles and Practice
Finance
Generative AI
GPU
Graphs
- CS224W: Machine Learning with Graphs
- CS246: Mining Massive Data Sets
- Networks, Crowds, and Markets
- 14.310x Data Analysis For Social Scientists
- CS 228 - Probabilistic Graphical Models
Interviews
Machine learning
- 6.041SC Probabilistic Systems Analysis and Applied Probability
- 6.042J Mathematics For Computer Science
- An Introduction to Statistical Learning
- CS-401 Applied Data Analysis (ADA)
- CS 329S: Machine Learning Systems Design
- Mathematics for Machine Learning
- Pattern Recognition And Machine Learning
- The Hundred-Page Machine Learning Book
- Understanding Machine Learning: From Theory to Algorithms
- Bayesian Reasoning and Machine Learning
- Probabilistic Machine Learning: Advanced Topics
NLP | LLMs
- CS336: Language Modeling from Scratch
- Speech and Language Processing
- CS 324 - Advances in Foundation Models
Reinforcement learning
- Reinforcement Learning: An Introduction
- CS234 - Reinforcement Learning
- CS332: Advanced Survey of Reinforcement Learning
- CS 224R Deep Reinforcement Learning
- UCL COMP M050: Reinforcement Learning
- CME 241: Foundations of Reinforcement Learning with Applications in Finance
- AA228/CS238 Decision Making under Uncertainty
- CS294-190 Advanced Topics in Learning and Decision Making
Z
- A/B Testing
- Calmcode
- Koaning
- Data and Decision Sciences
- Numerical Tours in Python
- OMSCS - Georgia Tech
- News - Ycombinator
- Timescale
- ResearchRabbit
- Markov Chains and Mixing Times
- Free English, Writing, and Research Courses
- Yale - Course List
- Project Gutenberg - 70,000 free eBooks
- CS294-194 Research to Start-up
- Course of Master Probability and Finance
- Baruch MFE