18-697 Statistical Discovery and Learning

12 units, Carnegie Mellon University

This course is designed to give students a thorough grounding in the methods, theory, mathematics and algorithms needed to do research and applications in machine learning. The topics of the course draw from machine learning, classical statistics, data mining, Bayesian statistics and information theory and other areas. This course is projectoriented and is intended to give students abundant handson experience with different machine learning algorithms. Students who have already taken CS 1070115781 Machine Learning should not take this course.

Prerequisites: none listed

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