- Grinstead and Snell’s Introduction to Probability
- MCMC sampling for dummies
- A Zero-Math Introduction to Markov Chain Monte Carlo Methods
- Markov Chain Monte Carlo Without all the Bullshit
- Inventory Forecasting with Markov Chain Monte Carlo
- The Matrix Calculus You Need For Deep Learning
- Coding The Matrix: Linear Algebra Through Computer Science Applications
- New fast.ai course: Computational Linear Algebra
- Khan Academy: Multivariable calculus
- Khan Academy: Linear Algebra
- Khan Academy: Differential calculus
- Fifty Challenging Problems in Probability with Solutions by Frederick Mosteller
- Interactive Mathematics Miscellany and Puzzles
- Poisson Distribution Problems
- brilliant
- One Hundred Solved Exercises for the subject: Stochastic Processes
- The Nature Of Code
- Systems Simulation: The Shortest Route to Applications
- Introduction to Gaussian Processes - Part I
- 101 NumPy Exercises for Data Analysis
- S-38.3143 Queueing Theory (5 ECTS) L
- An Introduction to Statistical Learning
- Kaggle Machine Learning
- Python Machine Learning
- A Tour of The Top 10 Algorithms for Machine Learning Newbies
- Gradient Boosted Regression Trees
- Neural Networks and Deep Learning
- Hacker's guide to Neural Networks
- Kaggle Deep Learning
- Artificial Neural Networks
- Practical Deep Learning For Coders, Part1 - fast.ai, 7 weeks
- Cutting Edge Deep Learning For Coders, Part 2 - fast.ai, 7 weeks
- fast.ai wiki
- How to learn Deep Learning in 6 months
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course
- A Platform for Many-agent Reinforcement Learning
- How to build your own AlphaZero AI using Python and Keras
- Introduction to Various Reinforcement Learning Algorithms. Part I (Q-Learning, SARSA, DQN, DDPG)
- Introduction to Various Reinforcement Learning Algorithms. Part II (TRPO, PPO)
- Awesome Reinforcement Learning
- Artificial Intelligence: A Modern Approach Textbook by Peter Norvig and Stuart J. Russell
- MIT 6.S099: Artificial General Intelligence