HCS6348 - Neural Net Mathematics

HCS 6348 (ACN 6348) Neural Net Mathematics (3 semester credit hours) Introduction to a large class of statistical machine learning algorithms including unsupervised, supervised, and reinforcement learning machines. Vector calculus and vector calculus-based probability theory with machine learning and artificial neural network modeling applications. Stochastic sequences of mixed random vectors, Bayesian Networks, and Markov random fields. Emphasizes applications of the theory to unsupervised, supervised, and reinforcement learning machines and artificial neural network modeling. Provides required math background for HCS 6349 or ACN 6349. Prerequisites: (Linear algebra and multivariable calculus and STAT 3341 or equivalent) and BBSC majors only and department consent required. (3-0) T