Northwestern University 1 credit Industrial Engineering & Management Sciences
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: Graduate students who have completed IEMS 202-0, IEMS 303-0 and IEMS 313-0 (or equivalent) and computer programming.
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