Useful courses/blogs related to Machine Learning

List of blogs are informative for RL/ML

1. Machine Learning Blog at CMU
2. Berkeley Artificial Intelligence Research Blog
3. Standford AI Blog
4. Lilian Weng blog on RL
5. Deep Mind Blog

Lectures/courses for Machine Learning

1. Create machine learning models - Microsoft
2. Stanford CS229: Machine Learning - Andrew Ng
   • Linear Regression and Gradient Descent
   • Logistic Regression
   • Naive Bayes
   • SVMs
   • Kernels
   • Decision Trees
   • Introduction to Neural Networks
   • Debugging ML Models
3. Machine Learning Crash Course - Google
4. Introduction to Machine Learning for Coders - Jeremy Howard
5. Foundations of Machine Learning - Bloomberg ML EDU
6. Tabular Data - Machine Learning University
7. Stat 451: Intro to Machine Learning (Fall 2020) - Sebastain Raschka
8. Deep Mind x UCL, Reinforcement Learning
9. NYU Deep Learning SP21
   • Neural Nets: rotation and squashing
   • Latent Variable Energy Based Models
   • Unsupervised Learning
   • Generative Adversarial Networks
   • Autoencoders