Machine Learning Models: From Research to Production
(13-06-2018)

The ability to rapidly build, train, and deploy machine learning models is a key ingredient to building an intelligent enterprise. Yet this path from model research to implementation is often hampered by a lack of secure, governed access to granular data, an ever expanding choice of model types and tools, significant compute requirements, and an absence of self-service tools to manage and deploy trained models to production.

This webinar introduces two key, new features in Cloudera Data Science Workbench 1.4 -- Experiments and Models -- that give data scientists the complete self-service capability to rapidly build, train, and deploy machine learning models. These features help accelerate machine learning from research to production, while preserving the flexibility and agility that data scientists and modern business use cases demand.

Cloudera Data Science Workbench 1.4 extends the enterprise machine learning platform experience from research to production. Join this webinar to see how.

Date: June 13, 2018
Time: 10am PT / 1pm ET

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