MIT Subject Listing & Schedule
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6.3900 Introduction to Machine Learning

(, )
Prereq: (6.1010 or 6.1210) and (18.03, 18.06, 18.700, or 18.C06)
Units: 4-0-8
URL: https://introml.mit.edu/
Lecture: R11-12.30 (10-250) Lab: T9-11 (34-501) or T11-1 (34-501) or T11-1 (32-044) or T1-3 (34-501) or T1-3 (32-044) or T3-5 (34-501) Recitation: F10 (32-044) or F11 (32-044) or F1 (32-044) or F2 (32-044) +final

Introduction to the principles and algorithms of machine learning from an optimization perspective. Topics include linear and non-linear models for supervised, unsupervised, and reinforcement learning, with a focus on gradient-based methods and neural-network architectures. Previous experience with algorithms may be helpful.
S. Shen
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