Readings: Machine Learning (Second half semester)

• Reading 11: Introduction to Machine Learning
• Reading 12: Supervised: Regression I
• Reading 13: Supervised: Regression II
• Reading 14: Classification I: Introduction, Generative Classification
• Reading 15: Classification II: Classification Trees and Ensemble Methods
• Reading 16: Classification III: Neural Networks
• Reading 17: Density Estimation and Clustering
• Reading 18: Dimensionality Reduction