MATH M42DS - Mathematics of Machine Learning for Data Science

    Recent Professors
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    Recent Semesters
    No scheduled sections on record
    Class Size
    Not published
    Credits
    3
    Prerequisite
    CS M10DS and MATH M25C and MATH M31 and MATH M15 OR MATH M15H
    Transfers To
    UC and CSUCal-GETC Area 2 · IGETC Area 2A · CSU GE Area B4
    Description
    Introduces machine learning algorithms with linear algebra for data science. Emphasizes the mathematical foundations of ensemble methods, discriminant analysis, deep learning, and neural networks as well as the ethical use of data. Covers applications of algebraic programming for data science.