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Wednesday, June 3 • 14:05 - 14:35
Machine learning on Big Data – big benefits or wasting resources?

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In the era of Big Data, it is easy to get carried away by the hype and statements like one should collect and use all the data that is available. For data collection, with the falling prices of data storage,this seems to be a completely valid statement. However, different types of analytics methods have different scale economies, and they do not necessarily benefit from running on billions of records.Machine learning has always been considered the holy grail in Big Data analytics. New platforms like Apache Spark are finally enabling data scientists all around the world to solve large-scale machine learning problems. Is it a power tool that we should use for all problems? Are there any drawbacks? This session shows some eye opening results from Apache Spark experiments that challenge our intuition on machine learning.The session includes a short introduction of all subjects covered buta basic understanding of machine learning is certainly helpful for the audience.

Speakers
avatar for Prekopcsák Zoltán

Prekopcsák Zoltán

VP Big Data, RapidMiner
Zoltan Prekopcsak is the Vice President of Big Data at RapidMiner, the leader in Modern Analytics. Previously, he was co-founder and CEO of Radoop, before its acquisition by RapidMiner. Prekopcsak has experience in data-driven projects in various industries including telecommunications... Read More →


Wednesday June 3, 2015 14:05 - 14:35 CEST
Mátyás II.

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