Скачать или смотреть Spark Saturday DC 2017 - Richard Garris - 'Productionizing' ML 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 you deploy these ML model to a production environment? How do you embed what you’ve learned into customer facing data applications? In this talk I will discuss best practices on how data scientists productionize machine learning models, do a deep dive with actual case studies, and show live tutorials of a few example architectures and code in Python, Scala, Java and SQL.

Richard Garris is a Principal Solutions Architect at Databricks focused on helping clients with their Advanced Analytics initiatives using Apache Spark and MLlib . He has spent 13 years working with enterprises in data management and analytics. Richard got his undergraduate degree at The Ohio State University and Masters in Software Management from CMU. His previous work experience includes Skytree, Google and PwC.

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