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Apr 20, 2024
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MTH 470 - Deep Learning
Credit(s): 3
Cross-listed with: MTH 470 is cross-listed with CIS 558 . To distinguish MTH 470 from CIS 558 additional or differentiated assessments and/or assignments appropriate to the graduate level will be assigned.
Focuses on deep learning, which is a subset of machine learning, to predict the characteristics of data based on the hierarchal structure of the data. Deep learning covers advanced supervised/unsupervised methods of classification and regression, structured prediction and anomaly detection with an emphasis on the development of the algorithms used to simulate high-level abstractions of data based on low-level layers. Models such as unsupervised Bayesian, Inference procedures and non-parametric models will be discussed. SP Even
Prerequisite(s): MTH 455
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