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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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16744 | |
Enrollment Capacity:
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45 |
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Section:
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000 |
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Enrollment Total:
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41 |
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Credits:
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3.00 credits
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Seats Available:
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4 |
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Dates:
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01/31/2022 - 05/13/2022 |
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Status:
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OPEN |
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Days, Time:
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T R , 5:00 PM - 6:20 PM |
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Nsc 201 |
view map |
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North Campus |
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| Comments |
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| CS minors will need to use the force registration system (https://academics.eng.buffalo.edu/force-registration/request) for their upper level CSE courses and will be enrolled during open enrollment. |
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| Enrollment Requirements |
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Prerequisites: Pre-Requisite: CSE 250 and (EAS 305 or MTH 411 or STA 301) and MTH 309. Approved Computer Science, Computer Engineering, Bioinformatics/CS Majors only. |
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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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Joseph |
look up |
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| On-line Resources |
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| Other Courses Taught By: Joseph |
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