CSCI4521: Applied Machine Learning for Computer and Data Scientists

3 Credits

An introduction to solving problems with machine learning. Applications of linear algebra, statistical models, non-parametric models (such as clustering, KNN), and non-linear/deep regression & classification. Emphasis is on hands-on experience using modern machine learning libraries to work with numerical data, text, and images. Prereq: (CSCI 1133 and (CSCI 2033 or MATH 2243/2373/2471/2574H)) or (MATH 4242 and (CSCI 2011 or CSCI 3041 or MATH 2283/2283W))

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B+ Average (3.490)Most Common: A (46%)

This total also includes data from semesters with unknown instructors.

212 students
SNWFDCBA
  • 5.12

    /6

    Recommend
  • 5.00

    /6

    Effort
  • 5.34

    /6

    Understanding
  • 5.14

    /6

    Interesting
  • 5.37

    /6

    Activities


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