Covers the Capital Asset Pricing Model, estimating betas, empirical evidence on returns versus beta, short-sale constraints, and optimal portfolio choice.
Introduces machine learning basics, covering data segmentation, clustering, classification, and practical applications like image classification and face similarity.
