Mathematics for Machine Learning
Notes on the book Mathematics for Machine Learning (work-in-progress)
Dr. Grinfeld's Linear Algebra course
Theory
I include below my notes related to various concepts used in artificial intelligence.
You can click on the button below for reviewing my project portfolio
Theory / Concepts
Variational Auto-Encoder
Soft Actor Critic (SAC)
Personal notes
Berkeley
A good blog about SAC
OpenAI documentation
Reinforcement Learning
Personal notes on general concepts in RL (part I)
Personal notes on general concepts in RL (part II)
David Silver's courses
Sutton & Barto
AlphaZero
Surag Nair's excellent tutorial
Monte Carlo Tree Search (MCTS)
Great series of posts from Oracle
Concurrency (in Python)
Computer Vision Techniques
Bayesian Filters
Get In Touch
Please feel free to email me and leave comments about my work. I look forward to hearing from you