INDE 577: DATA SCI & MACHINE LEARNING
Fall 2026 · Section 001 · CRN 12459
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: CMOR 438 . Recommended Prerequisite(s): Three semesters of calculus recommended. A background in some programming language would be extremely useful. Mutually Exclusive: Cannot register for INDE 577 if student has credit for CMOR 438 .
- Credits
- 3
- Instructors
- Randy Davila