Readings: Inference (First half semester)

• Reading 11: Introduction to Machine Learning
• Reading 12: Regression I: Introduction, Linear Models, Regularization
• Reading 13: Regression II: Gaussian Process, Cross Validation
• Reading 14: Classification I: Introduction, Generative Classification
• Reading 15: Classification II: Discriminative Classification, Ensemble Methods
• Reading 16: Classification III: Neural Networks, Evaluating Classifiers
• Reading 17: Density Estimation and Clustering
• Reading 18: Dimensionality Reduction