AutoGluon: Empowering (Multimodal) AutoML for the Next 10 Million Users

Speaker: Alex Smola

Location: On-Line, Room 825, 370 Jay Street
Videoconference link: https://nyu.zoom.us/meeting/register/tJYtd-mhqDMjHtyv70iM53FJH6LY9odCY1BQ

Date: Wednesday, February 8, 2023

Automated machine learning (AutoML) offers the promise of translating raw data into accurate predictions without the need for significant human effort, expertise, and manual experimentation. AutoGluon is a state-of-the-art and easy-to-use toolkit that empowers multimodal AutoML. Different from most AutoML systems that focus on solving tabular tasks containing categorical and numerical features, we consider supervised learning tasks on various types of data including tabular features, text, image, time series, as well as their combinations.

Funther details can be found here.