Robotic mannequin, "Manny", constructed at Pacific Northwest Laboratory. (Image is taken from Department of Energy's Digital Archive.)
Instructor(s)
Rohit Singh
(Teaching Assistant)
Prof. Tommi Jaakkola
Ali Mohammad
(Teaching Assistant)
MIT Course Number
6.867
As Taught In
Fall 2006
Level
Graduate
Course Description
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.
