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This workshop will serve as a theoretical and practical introduction to using machine learning methods to solve problems in clinical research. It takes a high-level approach, with almost no equations, and uses examples drawn from various areas of biology. The workshops will include an introduction to the field, and then a broad tour through the machine learning "pipeline":  feature selection, algorithm selection, measuring performance, and model validation. Some example code will be provided.

Date:
Friday, March 31, 2017
Time:
1:30pm - 3:30pm
Location:
KBT C27 (Computer Classroom) Center for Science and Social Science Information (CSSSI)
Campus:
Science Hill
Categories:
Digital Scholarship, Programming, StatLab
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Event Organizer

Joshua Dull