Editing CS 4641
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The course does not closely follow any textbook, but the slides are reasonably detailed. |
The course does not closely follow any textbook, but the slides are reasonably detailed. |
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β | The only prerequisite is [ |
+ | The only prerequisite is [[CS 1331]], but really you should have a good grounding in probability and statistics, linear algebra, and a bit of multivariable calculus, and have basic programming experience in Python, before taking this course. The reinforcement learning unit has some overlap with [[CS 3600|CS 3600: Introduction to Artificial Intelligence]], so it may be helpful to take CS 3600 beforehand or at the same time, and the latter part of CS 3600 also teaches machine learning to a limited extent. |
The median student in CS 4641 spent 11 hours per week on the course in Spring 2021, according to SmartEvals. For CS 7641, the median student spent 11β19 hours per week, depending on the section and semester. |
The median student in CS 4641 spent 11 hours per week on the course in Spring 2021, according to SmartEvals. For CS 7641, the median student spent 11β19 hours per week, depending on the section and semester. |