MIT Subject Listing & Schedule
IAP / Spring 2018 Search Results

Searched for: "6.036"    Subjects offered any term

1 subject found.

6.036 Introduction to Machine Learning

(, )
(Subject meets with 6.862)
Prereq: 6.0001
Units: 4-0-8
Lecture: T9.30-11 (26-100) Recitation: T11-12.30 (34-501) or T1-2.30 (34-501) or T2.30-4 (34-501) or R9.30-11 (34-501) or R11-12.30 (34-501) or R1-2.30 (34-501) or R2.30-4 (34-501) +final

Introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction; formulation of learning problems; representation, over-fitting, generalization; clustering, classification, probabilistic modeling; and methods such as support vector machines, hidden Markov models, and Bayesian networks. Students taking graduate version complete additional assignments. Meets with 6.862 when offered concurrently. Enrollment may be limited.
Fall: T. Jaakkola
Spring: L. Kaelbling
No textbook information available