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Intro Machine Learning 000 |
Enrollment Information (not real time - data refreshed nightly)
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Class #:
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10592 | |
Enrollment Capacity:
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210 |
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Section:
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000 |
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Enrollment Total:
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66 |
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Credits:
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3.00 credits
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Seats Available:
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144 |
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Dates:
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08/31/2020 - 12/11/2020 |
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Status:
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OPEN WITH RESERVES |
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Days, Time:
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M W , 7:40 PM - 9:00 PM |
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Remote |
view map |
| Location: |
Remote |
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| Reserve Capacities |
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| Description |
Enrollment Capacity |
Enrollment Total |
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| CSE: Seats Reserved |
145 |
26 |
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| Eng Sci MS: AI Seats Reserved |
30 |
5 |
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| Eng Sci MS Data Sci Seats Rsvr |
35 |
21 |
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| Course Description |
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| Involves teaching computer programs to improve their performance through guided training and unguided experience. Takes both symbolic and numerical approaches. Topics include concept learning, decision trees, neural nets, latent variable models, probabilistic inference, time series models, Bayesian learning, sampling methods, computational learning theory, support vector machines, and reinforcement learning. |
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| Instructor(s) |
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Gao, M |
look up |
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| On-line Resources |
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| Other Courses Taught By: Gao, M |
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