Relevancy and Redundancy of Features – EMEA Meetup #2 – October 2018

150 150 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

This video is a recap of our October 2018 EMEA TWIML Online Meetup.

In this month’s community segment we discuss the upcoming topics for the EMEA meetup group, along with our ongoing and upcoming Fast.AI study groups. We take a quick look at the newly released fastai v1 library, Jeremy Howard’s upcoming book, and the podcast we recorded with him earlier this week. Finally, we discuss a few dataset search engines including the recently released Google Dataset Search Engine Beta.

In our presentation segment, Arvind Kumar leads us in a breakdown of the paper “Including multi-feature interactions and redundancy for feature ranking in mixed datasets,” which he co-authored along with other researchers from Bosch and the Hasso Plattner Institute in Germany.

For links to the papers mentioned above and more information on this and previous meetups, or to get registered for upcoming meetups, visit twimlai.com/meetup!

Paper
Including multi-feature interactions and redundancy for feature ranking in mixed datasets
Slides

Mentioned in the Community Segment
Jeremy Howard’s upcoming book, The Mechanics of Machine Learning
The Fastai v1 Deep Learning Framework with Jeremy Howard
Jeremy Howard’s panel discussion at Pytorch Conference(Starts at 1:18:47)
Google Dataset Search Engine
CV Data Search Engine
Google Earth Engine

Leave a Reply

Your email address will not be published.