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Deciphering the Black Box: Understanding your Machine Learning Model | Houston Data Analytics Meetup

January 17 @ 6:30 pm - 8:30 pm CST

Register

Register here! https://bit.ly/2QMD0Ia

Dr. Rajiv Shah will show how interpretability tools can give you not only more confidence in a model, but also help to improve model performance. This talk will cover how you can use techniques such as feature importance, partial dependence, and explanation approaches, such as LIME. Along the way, we will consider issues like spurious correlation, multicollinearity, and other issues that may affect model interpretation and performance. The talk will use easy to understand examples and references to open source algorithms to illustrate the techniques.

Details

Date:
January 17
Time:
6:30 pm - 8:30 pm
Website:
https://www.meetup.com/Houston-Data-Analytics-Meetup/events/256581110/

Venue

Station Houston
1301 Fannin Street #2440, Houston, TX 77002
Houston, TX 77002 US
Website:
https://stationhouston.com/venue/station-houston-2/