Sep 23–26, 2019
Heitor Murilo Gomes

Heitor Murilo Gomes
Researcher, Télécom ParisTech

Website

Heitor Murilo Gomes is a researcher at Télécom ParisTech focusing on machine learning—particularly, evolving data streams, concept drift, ensemble methods, and big data streams. He coleads the streamDM open data stream mining project.

Sessions

2:05pm2:45pm Thursday, September 26, 2019
Location: 3B - Expo Hall
Heitor Murilo Gomes (Télécom ParisTech), Albert Bifet (Télécom ParisTech)
Heitor Murilo Gomes and Albert Bifet introduce you to a machine learning pipeline for streaming data using the streamDM framework. You'll also learn how to use streamDM for supervised and unsupervised learning tasks, see examples of online preprocessing methods, and discover how to expand the framework by adding new learning algorithms or preprocessing methods. Read more.

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