Jul 16, 2019  
2018-2019 Cal State East Bay Catalog 
    
2018-2019 Cal State East Bay Catalog [ARCHIVED CATALOG]

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MATH 667 - Machine Learning


Units: 4
Introduction to machine learning with an emphasis on the underlying mathematics. Topics such as VC dimension, central limit theorem, gradient descent. Applications such as SVM and neural nets.

Prerequisites: MATH 230 and MATH 310; or M.S. Computer Science major.
Possible Instructional Methods: Entirely On-ground.
Grading: A-F grading only.
Cross-listed: CS 667.






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