| Topics In Data Mining - 17239 - CS 69000 - DM1 |
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Associated Term: Fall 2015
Levels: Undergraduate, Graduate, Professional West Lafayette Campus Lecture Schedule Type Learning Outcomes: Learn state-of-the art techniques in data mining, probability theory, and statistics to perform cutting-edge research in data mining & data science. Required Materials: Papers will be available online. Technical Requirements: Good undergraduate level exposure to basic concepts in calculus, linear algebra, probability theory, statistics, and machine learning. In particular, students should be comfortable with probability models, p-values, and setting up and numerically solving ordinary differential equations. Students entering the class should have good programming skills and knowledge of algorithms. View Catalog Entry
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