Introduction to Machine Learning

Outline illustration of brains on black background.

In this course, students learn about machine learning. (Image courtesy of yumikrum on Flickr. Used under CC BY.)

Instructor(s)

MIT Course Number

6.036

As Taught In

Fall 2020

Level

Undergraduate

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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. You have the option to sign up and enroll in the course if you want to track your progress, or you can view and use all the materials without enrolling.

Related Content

Leslie Kaelbling, Tomás Lozano-Pérez, Isaac Chuang, and Duane Boning. 6.036 Introduction to Machine Learning. Fall 2020. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.


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