Sep 23–26, 2019

Heitor Murilo Gomes
Researcher, Télécom ParisTech

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

2:05pm–2:45pm Thursday, September 26, 2019

Location: 3B - Expo Hall

Machine learning for streaming data: Practical insights

Data Science, Machine Learning, & AI, Expo Hall

Secondary topics: Streaming and IoT, Telecom, Temporal data and time-series analytics

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.