Stanford CS229 (Spring 2019) Materials http://cs229.stanford.edu
- Introduction (lecture1_slide.pdf)
- Supervised Learning, Discriminative Algorithms (cs229-notes1.pdf)
- Maximum Entropy and Exponential Families (MaxEnt.pdf)
- Generative Algorithms (cs229-notes2.pdf)
- Kernel Methods and SVM (cs229-notes3.pdf)
- Deep learning (cs229-notes-deep_learning.pdf)
- Backpropagation (backprop.pdf)
- Learning Theory (cs229-notes4.pdf)