MinneBOS has ended
Presented by MinneAnalytics. Hosted by Boston University Questrom School of Business.
Back To Schedule
Thursday, August 23 • 3:00pm - 3:30pm
Why Automated Feature Engineering Will Change Machine Learning

Log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
The recent hype about automated machine learning has focused on the modeling part of the pipeline, while the critical step of feature engineering is left out of the discussion. Feature engineering, the process of extracting predictor variables from a dataset, largely determines the success or failure of a machine learning project. That is why automating feature engineering has long been a dream for machine learning practitioners. In this talk, we will walk through several real-world use cases using Featuretools, an open source library for automated feature engineering developed and maintained by Boston-based startup Feature Labs. We will show how automated feature engineering can reduce development time by 10x, deliver better predictive performance, create meaningful features with real-world insights, and prevent data leakage.

avatar for William Koehrse

William Koehrse

Data Scientist, Feature Labs

Thursday August 23, 2018 3:00pm - 3:30pm EDT
Room 406 Boston University Questrom School of Business, 595 Commonwealth Avenue Boston