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Searched for: "6.867" Subjects offered any term 1 subject found.
6.867 Machine Learning
(
)
Prereq: 6.041B or 18.600, 18.06
Units: 3-0-9
Principles, techniques, and algorithms in machine learning from the point of view of statistical inference; representation, generalization, and model selection; and methods such as linear/additive models, active learning, boosting, support vector machines, non-parametric Bayesian methods, hidden Markov models, and Bayesian networks. Recommended prerequisite: 6.036.
D. Shah
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