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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
ACN 6349 (Overall) | |||||
A | |||||
ACN 6349 Richard Golden | |||||
A | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
Not teaching in Spring 2026 | |||||
ACN 6349 (Overall) | |||||
A | |||||
ACN 6349 Richard Golden | |||||
A | |||||
Statistical Machine Learning
ACN 6349
School of Behavioral and Brain Sciences
Mathematical tools for investigating the asymptotic behavior of both batch and adaptive machine learning algorithms including convergence of gradient descent batch learning algorithms convergence of adaptive stochastic approximation learning algorithms, and convergence of Monte Carlo Markov Chain algorithms. M-estimation and bootstrap asymptotic statistical theory for characterizing asymptotic behavior of parameter estimates as a function of sample size to support model selection, specification analysis, and hypothesis testing. Emphasizes applications of theory to unsupervised, supervised, and reinforcement learning machines and deep learning with MATLAB software implementations. 3 credit hours.
Prerequisites: (ACN 6348 or HCS 6348) and department consent required.
Offering Frequency: Every two years
Grades: 15
Median GPA: A
Mean GPA: 3.823
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Statistical Machine Learning
ACN 6349
School of Behavioral and Brain Sciences
Mathematical tools for investigating the asymptotic behavior of both batch and adaptive machine learning algorithms including convergence of gradient descent batch learning algorithms convergence of adaptive stochastic approximation learning algorithms, and convergence of Monte Carlo Markov Chain algorithms. M-estimation and bootstrap asymptotic statistical theory for characterizing asymptotic behavior of parameter estimates as a function of sample size to support model selection, specification analysis, and hypothesis testing. Emphasizes applications of theory to unsupervised, supervised, and reinforcement learning machines and deep learning with MATLAB software implementations. 3 credit hours.
Prerequisites: (ACN 6348 or HCS 6348) and department consent required.
Offering Frequency: Every two years
Grades: 15
Median GPA: A
Mean GPA: 3.823
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