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STAT 535: Statistical Machine Learning (2024 Autumn)

Lecture Notes

Lecture 01: Review on probability and statistics

Lecture 02: Liklihood models

Lecture 03: Mixture models and variational inference

Lecture 04: Linear regression and penalization

Lecture 05: Graph and networks

Lecture 06: Density estimation

Lecture 07: Nonparametric regression

Lecture 08: Classification

Lecture 09: Clustering

Lecture 10: Dimension reduction

Lecture 11: Monte Carlo ethods

Lecture 12: The bootstrap

Lecture 13: Missing data

Lecture 14: Causal inference

Copyright © 2013-2024 Yen-Chi Chen. All rights reserved.