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Neural Net Mathematics
CGS 4313
School of Behavioral and Brain Sciences
Advanced matrix calculus and vector calculus-based probability theory with applications to problems in machine learning and artificial neural network modeling. Stochastic sequences and stochastic convergence. Markov/Conditional Random Fields. Intended to provide mathematics preparation for CGS 4314 and CGS 4315. 3 credit hours.
Prerequisites: CGS 3342 and (MATH 2418 and MATH 2451) and (STAT 3341 or STAT 4351) or instructor consent required.
Offering Frequency: Every two years
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Neural Net Mathematics
CGS 4313
School of Behavioral and Brain Sciences
Advanced matrix calculus and vector calculus-based probability theory with applications to problems in machine learning and artificial neural network modeling. Stochastic sequences and stochastic convergence. Markov/Conditional Random Fields. Intended to provide mathematics preparation for CGS 4314 and CGS 4315. 3 credit hours.
Prerequisites: CGS 3342 and (MATH 2418 and MATH 2451) and (STAT 3341 or STAT 4351) or instructor consent required.
Offering Frequency: Every two years
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