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CSE 4309

Introduction to Machine Learning

**Fall 2017**

Lectures: MW 1:00pm-2:20pm

Room: NH 112

Instructor: Vassilis Athitsos

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This course offers an introduction to machine learning. Topics include naive Bayes classifiers, linear regression, linear classificiers, neural networks and backpropagation, kernel methods, decision trees, clustering, and reinforcement learning. A strong programming background is assumed, as well as familiarity with linear algebra (vector and matrix operations), and knowledge of basic probability theory and statistics. Prerequisite: Admitted into an Engineering Professional Program. C or better in each of the following: CSE 2320, IE 3301 and CSE 3380 or MATH 3330.

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