EE 4521: Introduction to Machine Learning and Data Science for Electrical and Computer Engineers

3 Credits

Computational techniques for analysis and inference from data. Python language programming. Elementary numerical optimization and statistical data analysis. Computational methods for clustering, dimensionality reduction, classification, regression, and time series analysis. Construction, training, and utilization of deep neural networks. Application case studies using datasets arising in Electrical and Computer Engineering. prereq: EE 3025; Math 2263 or 2374; Math 2142, 2243, 2373 or CSci 2033

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A- Average (3.744)Most Common: A (75%)

This total also includes data from semesters with unknown instructors.

84 students
WFDCBA
  • 4.72

    /5

    Recommend
  • 4.37

    /5

    Effort
  • 4.73

    /5

    Understanding
  • 4.36

    /5

    Interesting
  • 4.82

    /5

    Activities


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