CMSC 25400/STAT 27725:  Machine Learning

Lectures:   MW 3:00-4:20 in Stuart 105
Recitations:   F 3:00-4:20 in Stuart 101
(on an as-needed basis only)

Instructor:   Risi Kondor (office hours: MW 4:30-5:30 in Ry 257B)
TAs:   Steven Basart (office hours: Tu 3:30-4:30 in Ry 255)
Yi Ding (office hours: Th 9:30-10:30 in Young 404)
Truong Son Hy (office hours: F 1:00-2:00 in Ry 162)

Kevin P. Murphy: Machine Learning
Hastie, Tibshirani, Friedman: The elements of statistical learning

1. Clustering
2. Dimensionality reduction
3. Regression
4. Bayesian learning
5. Hidden Markov models
6. Boosting
7. The perceptron
8. SVM and other kernel machines
9. Artificial neural networks
10. Manifold learning
11. Statistical learning theory

Assigments:   Homework 5
(Robot image is from Coursera)