MIT OpenCourseWare
Introduction to Machine Learning
Mirrored from ocw.mit.edu · CC-BY-NC-SA-4.0 · Prof. Leslie Kaelbling, Prof. Tomás Lozano-Pérez, Prof. Isaac Chuang, Prof. Duane Boning
Mirrored from: ocw.mit.edu · MIT · Electrical Engineering and Computer Science
Instructor: Prof. Leslie Kaelbling, Prof. Tomás Lozano-Pérez, Prof. Isaac Chuang, Prof. Duane Boning · License: CC-BY-NC-SA-4.0
About this course
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 {{% resource_link "76dabe41-4ff8-4a77-b03c-106df1d157d2" "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.
Course details
As Taught In
Fall 2020
Level
Undergraduate
Topics
Engineering, Computer Science, Algorithms and Data Structures, Artificial Intelligence
Files
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