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6.036
Instructor
Tommi Jaakkola, Leslie P. Kaelbling, Regina Barzilay
Introduction to Machine Learning
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 neural networks. Students taking graduate version complete additional assignments.
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