Reading Material

• UW CSE416: Introduction to Machine Learning
  
• UW CSE446: Machine Learning
  
• Stanford CS229: Machine Learning (Andrew Ng’s Machine Learning Course)
• Oxford’s MT16 Machine Learning

Neural Networks

• Andrej Karpathy’s Zero to Hero
• Ruder’s overview of Gradient Descent techniques
• Tensorflow’s Playground

PyTorch tutorials

• Stanford’s Introduction to Pytorch
• Deep learning with Pytorch, a 60-min blitz
• UvA [PyTorch Tutorial] (https://uvadlc-notebooks.readthedocs.io/en/latest/)

Others

• Jensen’s inequality
• L1 and L2 regularization
• Derivative of cost function for Logistic Regression