This page conatins links to various machine learning resources that I have found particularly enlightening and love to go back to:

Lectures

1. Reinforcement Learning Bootcamp
2. Numerical Optimization-NPTEL
3. Hidden Markov Models
4. Foundations of Machine Learning- Bloomberg ML EDU
5. Algorthmic Differentition - Forward Mode
6. Algorthmic Differentition - Reverse Mode

Tutorials

1. Understanding LTSMs
2. A Free course in Deep Reinforcement Learning from beginner to expert
3. Entropy Cross-Entropy and KL-Divergence
4. Understanding Ranking Loss, Contrastive Loss, Margin Loss, Triplet Loss, Hinge Loss