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) Canvas:   canvas.uchicago.edu Piazza:   piazza.com/uchicago/winter2017/cmsc25400/home email:   cmsc25400@gmail.com 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) Books:   (optional!)   Kevin P. Murphy: Machine Learning Hastie, Tibshirani, Friedman: The elements of statistical learning Topics:   (preliminary)   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)