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
