Jakub Hava

Jakub (or “Kuba”) finished his bachelors degree in computer science at Charles University in Prague, and is currently finishing his master’s in software engineering as well. As a bachelors thesis, Kuba wrote a small platform for distributed computing of tasks of any type. On his current masters studies he’s developing a cluster monitoring tool for JVM based languages which should make debugging and reasoning about performance of distributed systems easier using a concept called distributed stack traces. At H2O, Kuba is a core developer on Sparkling Water project.

Presentations

Different Strategies of Scaling H2O Machine Learning on Apache Spark

Saturday 15:15–16:00 in Small Room

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