Date: | December 17, 2015 |
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Location: | DC 1331 |
Time: | 11:30 |
Chair: | ![]() Yipeng Wang |
Date: | Jan 7, 2015 | Jan 14, 2015 | Jan 21, 2015 | Jan 28, 2015 |
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Location: | DC 1331 11:30 | DC 1331 11:30 | DC 1331 11:30 | DC 1331 11:30 |
Chair: | ![]() Christopher Batty |
![]() Bill Cowan |
![]() Ryan Goldade |
![]() Craig Kaplan |
Technical Presentation: | ![]() Yipeng Wang (maybe) |
![]() Christopher Batty |
![]() Bill Cowan |
![]() Ryan Goldade |
![]() Andrew Tinits |
Title : A Few Useful Things to Know about Machine Learning
Abstract: I'll be presenting the above article from CACM by Pedro Domingos about some of the "folk knowledge" needed to apply machine learning in the real world. Developing successful machine learning applications requires a substantial amount of "black art" that is hard to find in textbooks. We cover some pitfalls to avoid, important issues to focus on, and answers to common questions. |
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Also see other Math and CS postings.