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IEMS 455-0

Machine Learning

1 Unit · Graduate

A survey of large-scale machine learning with emphasis on neural networks and kernel methods, including model formulation, large-scale applications and training (optimization). Case studies include text classification, image and speech recognition, and recommender systems. Construction of deep neural networks for large data sets.

Prerequisites & course information

Prerequisites: Graduate students who have completed IEMS 202-0, IEMS 303-0 and IEMS 313-0 (or equivalent) and computer programming.

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