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About Course Outline
This course is an introductory machine learning course taught by Prof. Cynthia Rudin in the spring of 2019. It will cover standard machine learning techniques like decision trees, random forests, SVMs, and neural networks. The course assumes background in linear algebra, analysis, probability, and programming. It meets Tuesdays and Thursdays from 8:30-9:45AM with optional discussion sections and office hours with TAs. The grade is based 60% on homework and 40% on two exams.
Detailed Information
| Author: | ['Robert Jenkins'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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