Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
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 co-leads the StreamDM open data stream mining project.

Sessions

3:30pm–4:10pm Thursday, 09/13/2018
Location: 1E 07/08 Level: Intermediate
Secondary topics:  Temporal data and time-series analytics
Heitor Murilo Gomes (Télécom ParisTech), Albert Bifet (Huawei)
The StreamDM library provides the largest collection of data stream mining algorithms for Spark. This talk will cover how StreamDM can be used alongside Structured Streaming for build incremental models specially for non-stationary streams (i.e. those with concept drifts). Concretely, we will cover how to develop, apply and evaluate learning models using StreamDM and Structured Streaming. Read more.