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
