STAT w4240
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STAT w4240

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    • Profile picture
    Apr 24, 2016
    | Would highly recommend.

    This class was tough.

    Course Overview:

    Professor is funny. Course material is solid and well-developed, catering to the industrial need. Recommended to all who want to work on data analytics in the future.

    Course highlights:

    Covers the theory of bias-variance trade-offs and cross-validation in supervised learning, and bootstrap, shrinkage, random forests, SVMs and clustering methods.

    Hours per week:

    6-8 hours

    Advice for students:

    Need solid mathematical background in calculus. Basic programming skills are recommended. Would be great if you have used R in the past.

    • Spring 2015
    • Rahul Mazumder
    • Background Knowledge Expected Group Projects Competitive Classmates

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