CS 315 - Machine Learning

Course material:

1. Dimensionality Reduction
2. Classification
3. Hidden Markov Models

TODO: (you can ignore this, this is just for myself to remember that there’s still work to be done in these notes)

• Linear Discriminant Analysis
• Naive Bayes