Presented by O'Reilly and Cloudera
Make Data Work
July 12-13, 2017: Training
July 13-15, 2017: Tutorials & Conference
Beijing, China

Mateusz Dymczyk
Software Engineer, H2O.ai

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Mateusz Dymczyk is a Tokyo-based software engineer at H2O.ai, the company behind H2O, the leading open source machine learning platform for smarter applications and data products. He works on distributed machine learning projects including the core H2O platform and Sparkling Water, which integrates H2O and Apache Spark. Previously, he worked at Fujitsu Laboratories on natural language processing and utilization of machine learning techniques for investments and at Infoscience on a highly distributed log data collection and analysis platform. Mateusz loves all things distributed and machine learning and hates buzzwords. In his spare time, he participates in the IT community by organizing, attending, and speaking at conferences and meetups. Mateusz holds an MSc in computer science from AGH UST in Krakow.

议题

14:50–15:30 Friday, 2017-07-14
物联网&实时计算 (IoT & real-time), 英文讲话 (Presented in English)
Location: 多功能厅6A+B(Function Room 6A+B) 观众水平 (Level): Intermediate
Mathieu Dumoulin (McKinsey & Company), Mateusz Dymczyk (H2O.ai)
Mathieu Dumoulin and Mateusz Dymczyk walk you step by step through building a scalable, real-time anomaly detection pipeline applied to an industrial robot. You'll learn how to gather data from a wireless movement sensor, process it with H2O on a MapR cluster, and visualize the output through an AR headset by an operator. Read more.

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