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DATASCI 415

Statistical Machine Learning

4 credits · Undergraduate credit

This course covers the principles of data mining, exploratory analysis and visualization of complex data sets, and predictive modeling. The presentation balances statistical concepts (such as over-fitting data, and interpreting results) and computational issues. Students are exposed to algorithms, computations, and hands-on data analysis in the weekly discussion sessions.

Prerequisites & course information

STATS 413. (Prerequisites enforced at registration.) (4). (BS). May not be repeated for credit.

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