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5709. Machine Learning for Data Science
3.00 credits
Prerequisites:
Grading Basis: Graded
An introduction to the techniques of machine learning, including models for both supervised and unsupervised learning, and related optimization techniques, covering topics such as regression, neural networks, clustering, model evaluation and selection, and implementation of learning algorithms from first principles.
Last Refreshed: 02-JAN-25 05.20.24.288918 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1248 13984 1 002 | 002 | 13984 | Johnson, Joseph | 23/30 | Reg | Online Asynchronous |