Machine Learning OpenCourseWare: Free Online Graduate Level Course by MIT on Machine Learning Theory

Published Jan 31, 2009

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'Machine Learning' is a free graduate-level OpenCourseWare offered by MIT that provides students with an introduction to the theories and applications of machine learning methods. Students interested in language processing and speech recognition technology and robotics should consider taking this course. This course is mathematically rigorous and should be considered only by students with a solid background in advanced mathematics.

Machine Learning: Course Specifics

Degree Level Free Audio Video Downloads
Graduate Yes No No Yes

Lectures/Notes Study Materials Tests/Quizzes
Yes Yes Yes

Machine Learning: Course Description

This OpenCourseWare is an introductory course in machine learning that begins with an overview of classification and linear regression and ends with recent topics such as hidden Markov models and Bayesian networks. Other course topics include kernal regressions, methods used to select proper modeling methods, clustering algorithms and more. The course's goal is to provide students with an understanding of the theory, use and application of machine learning methods. Professor Tommi Jaakkola teaches this lecture-based course which emphasizes hands on assignments to learn the subject matter. The course's main assignment is completion of a short paper discussing possible applications of machine learning algorithms or analyzing a machine learning theory.

Lecture notes, exams, projects and homework assignments are available for download. MATLAB software is needed to complete the homework assignments which are available for download. If you're interested in taking this free graduate economics course, visit the machine learning course page

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