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ESE 388

Foundations of Machine Learning

Stony Brook University 3 credits ESE

Course Description

This course provides an introduction to the fundamental concepts of machine learning. Statistical learning framework is utilized for clustering, classification, and prediction tasks. Concepts are reinforced through theoretical and programming assignments, with applications in computer vision, natural language processing and bioinformatics. May not be taken for credit in addition to EEO 388 . 3 credits Prerequisite: ESE 224 and ESE 306

Code
ESE 388
Credits
3
Subject
ESE

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