Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
22–24 May 2018: Tutorials & Conference
London, UK
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
14:05–14:45 Wednesday, 23 May 2018
Data science and machine learning,
Streaming systems and real-time applications
Location: Capital Suite 12 Level: Intermediate
Secondary topics:
Telecom,
Time Series and GraphsLocation: Capital Suite 12 Level: Intermediate
Heitor Murilo Gomes (Télécom ParisTech),
Albert Bifet (Télécom ParisTech)
Average rating:
(3.00, 1 rating)
Heitor Murilo Gomes and Albert Bifet offer an overview of StreamDM, a real-time analytics open source software library built on top of Spark Streaming, developed at Huawei's Noah’s Ark Lab and Télécom ParisTech.
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