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Wednesday, May 11 • 4:10pm - 5:00pm
Distributed Machine Learning with Apache Mahout - Suneel Marthi, Red Hat

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Data Science tools like R,Scikit-Learn as they offer a convenient and familiar syntax for analysis tasks. However, these systems are limited to operating serially on data sets that can fit on a single node. Mahout-Samsara is a linear algebra environment that offers both an easy-to-use Scala DSL and efficient distributed execution for linear algebra operations.In this talk, we will look at Mahout’s distributed linear algebra capabilities and build a simple ML algorithm using the Samsara DSL. We’ll be demonstrating this using Apache Flink as the backend distributed engines.ML practitioners will come away from this talk with a better understanding of how Samsara’s linear algebra environment can help simplify developing highly scalable ML algorithms by focusing solely on the declarative specification of the algorithm while not worrying about the details of scalable distributed implementation

Speakers
SM

Suneel Marthi

Principal Engineer, Red Hat
Suneel Marthi is a member of the Apache Software Foundation, and a Committer and PMC member on Apache Mahout, Apache PredictionIO and Apache Pirk. He has previously presented at Apache Big Data, Hadoop Summit Europe and Flink Forward.



Wednesday May 11, 2016 4:10pm - 5:00pm
Georgia A

Attendees (30)