INET4062: Data Science II: Advanced Analytics and AI

4 Credits

This course is a follow-up to INET 4061: Data Science Fundamentals. It covers the tools required to apply and implement data science techniques such as mathematical programming libraries, cloud resources, and big data databases. It also gives an overview of advanced data science methodologies such as deep learning, reinforcement learning, recommendation systems, and linear programming. Previously offered as INET 4710. Prereq: INet 4061, Math 1271

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B Average (2.983)Most Common: A- (27%)

This total also includes data from semesters with unknown instructors.

22 students
WFDCBA

  • 4.13

    /6

    Recommend

  • 3.75

    /6

    Effort

  • 4.50

    /6

    Understanding

  • 4.75

    /6

    Interesting

  • 4.25

    /6

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