In this course, students learn about machine learning. (Image courtesy of yumikrum on Flickr. Used under CC BY.)
Instructor(s)
Prof. Leslie Kaelbling
Prof. Tomás Lozano-Pérez
Prof. Isaac Chuang
Prof. Duane Boning
MIT Course Number
6.036
As Taught In
Fall 2020
Level
Undergraduate
Course Description
Course Features
Course Description
This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization. These concepts are exercised in supervised learning and reinforcement learning, with applications to images and to temporal sequences.
This course is part of the Open Learning Library, which is free to use. In order to access course materials and keep track of your progress, you will need to register with a free account.