One of the most critical components of data science is choosing the appropriate type and structure of model, given the available data and the need to balance simplicity with performance. This talk will give an overview of various model types, best practices for choosing models, and tips for successful model selection. We'll also discuss the difficulties of extracting technical requirements (and therefore model requirements) from non-technical problems in addition to the consequences of poor model selection.
4:50 pm - 5:00 pm Arrival and socializing
5:00 pm - 5:10 pm Opening
5:10 pm - 6:50 pm Jesse Shanahan, "Model Selection 101"
6:50 pm - 7:00 pm Q&A
Speaker: Jesse Shanahan is a Lead Data Scientist at Booz Allen Hamilton
Webinar ID: 853 8637 0278
Website: Click to Visit
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