In this demo Michael Gregory, Machine Learning Field Engineer at Cloudera, draws upon his work with customers to provide a summary and overview of the development phases of the machine learning workflow in CDSW. He shows:
-How CDSW enables the development of enterprise-grade ML applications
-How to access data, explore data, prepare and clean the data in CDSW
-How to leverage CDSW in the training and modeling phase - giving data scientists self-service access to scale out compute resources and environments they need to tune and track experiments with their models
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