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Course: STAT 27725=CMSC 25400
Title: Machine Learning
Instructor(s): Risi Kondor
Class Schedule: Sec 01: MW 3:00-4:20 in Stuart 104
Office Hours:  
Textbook(s):  
Description: This course offers a practical, problem-centered introduction to machine learning. Topics covered include the Perceptron and other online algorithms; boosting; graphical models and message passing; dimensionality reduction and manifold learning; SVMs and other kernel methods; and a short introduction to statistical learning theory. Weekly programming assignments give students the opportunity to try out each learning algorithm on real world datasets.