Machine Learning

Image of robotic mannequin, 'Manny', constructed at Pacific Northwest Laboratory.

Robotic mannequin, "Manny", constructed at Pacific Northwest Laboratory. (Image is taken from Department of Energy's Digital Archive.)


MIT Course Number


As Taught In

Fall 2006



Cite This Course

Course Features

Course Description

6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, and Bayesian networks. The course will give the student the basic ideas and intuition behind modern machine learning methods as well as a bit more formal understanding of how, why, and when they work. The underlying theme in the course is statistical inference as it provides the foundation for most of the methods covered.

Other OCW Versions

Archived versions: Question_avt logo

Rohit Singh, Tommi Jaakkola, and Ali Mohammad. 6.867 Machine Learning, Fall 2006. (Massachusetts Institute of Technology: MIT OpenCourseWare), (Accessed). License: Creative Commons BY-NC-SA

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