CurrMana

Introduction to Machine Learning

6.036 · Electrical Engineering and Computer Science · Undergraduate · Fall 2020

Prof. Leslie Kaelbling, Prof. Tomás Lozano-Pérez, Prof. Isaac Chuang, Prof. Duane Boning

MIT · Tier 1

<p>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.</p> <p>This course is part of the Open Learning Library, which is free to use.&nbsp;You have the option to sign up …

Computer ScienceMachine LearningEngineeringAIAlgorithms and Data StructuresData Science, Analytics & Computer Technology

The syllabus, on MIT OpenCourseWare

The full course — syllabus, assigned readings, problem sets, exams, and lecture notes — lives on OCW. These open the real thing:

Attribution

Prof. Leslie Kaelbling, Prof. Tomás Lozano-Pérez, Prof. Isaac Chuang, Prof. Duane Boning. 6.036 Introduction to Machine Learning. Fall 2020. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.

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