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DATS442 - Bayesian Methods (Bayesian Inference, Naïve Bays)

Course Details

Course Code: DATS442 Course ID: 5153 Credit Hours: 3 Level: Undergraduate

This course focuses on the Bayesian approach to probability and statistics and applies it to tools and methods used in data science. This course starts with a brief review of the tenets of probability that form the foundation for Bayes Theorem. Next, it discusses Bayes Theorem in-depth. Then, it considers the Bayesian approach to inference, examines the Naïve Bayes model, and develops Bayesian regression. (Prerequisite: MATH328)





Prerequisites

Course Schedule

No Course Offerings.

Current Syllabi

Information is provided in the syllabus when the course begins.
Information is provided in the syllabus when the course begins.
Information is provided in the syllabus when the course begins.

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Previous Syllabi

Not current for future courses.