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