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Apache® Spark™ MLlib 2.x: Productionize your Machine Learning Models

Apache Spark has rapidly become a key tool for data scientists to explore, understand and transform massive datasets and to build and train advanced machine learning models. The question then becomes, how do I deploy these models to a production environment? How do I embed what I have learned into customer facing data applications?

In this latest Data Science Central webinar, we will discuss:

Best practices on how customers productionize machine learning models
Case studies with actual customers
Live tutorials of a few example architectures and code in Python, Scala, Java and SQL
Speaker: Richard Garris, Principal Solutions Architect -- Databricks Inc.

Hosted by: Bill Vorhies, Editorial Director -- Data Science Central

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