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Complete the Machine Learning Life Cycle with Production Deployment

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Course Credit: 0.1 CEU, 1 PDH

Machine Learning is one of the biggest value generator in Analytics in the recent years. The data science workflow for machine learning models has started to extend beyond evaluations and there is an increasing demand to set up models at scale in production.

The talk will focus on the next crucial steps to operationalize a successful Machine Learning pilot. In order to start capturing business value of a model for competitive advantage, it needs to be effectively deployed into production. It is important for every decision-maker to understand how Machine Learning Model production deployment and support work and how to reduce the risk of failure to sustain a Data Science solution. All content contained within this webinar is copyrighted by Tamas Toth and its use and/or reproduction outside the portal requires express permission from Tamas Toth.

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 1 chapter

Course Chapters

  • 1Complete the Machine Learning Life Cycle with Production Deployment - Chapter 1
    Media Type: Video

Credits

Earn credits by completing this course0.1 CEU credit1 PDH credit

Speakers

Tamas Toth