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InfoQ Homepage Presentations Productionizing H2O Models with Apache Spark

Productionizing H2O Models with Apache Spark

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Summary

Jakub Hava demonstrates the creation of pipelines integrating H2O machine learning models and their deployments using Scala or Python.

Bio

Jakub Hava finished his bachelor's degree in CS at Charles University in Prague, and is currently finishing his master’s in software engineering as well. 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. At H2O, he mostly works on the Sparkling Water project.

About the conference

Big Data Conference Vilnius is a three-day conference with technical talks in the fields of Big Data, High Load, Data Science, Machine Learning and AI.Conference brings together developers, IT professionals and users to share their experience, discuss best practices, describe use cases and business applications related to their successes.

Recorded at:

May 09, 2019

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