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CMOR 438

DATA SCIENCE AND MACHINE LEARNING

Credit Hours: 3 · Undergraduate Upper-Level

Fundamentals of data science and machine learning. Topics include: introduction to scikit-learn, Keras and tensorflow2, linear and logistic regression, clustering, support vector machines, random forest trees, neural networks, deep learning, natural language processing. Graduate/Undergraduate Equivalency: INDE 577 . Mutually Exclusive: Cannot register for CMOR 438 if student has credit for INDE 577 .

Prerequisites & course information

Short Title: DATA SCI & MACHINE LEARNING Department: Comp Appl Math Operations Rsch Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level

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