INDE 577: DATA SCI & MACHINE LEARNING
Spring 2024 · Section 001 · CRN 23325
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. Recommended Prerequisite(s): Three semesters of calculus recommended. A background in some programming language would be extremely useful.
- Credits
- 3
- Instructors
- Randy Davila