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Deploying and Managing Models in Microsoft Azure

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Duration

59m

level

Advanced

Course Creator

Jared Rhodes

Last Updated

02-Sep-20

In this course, you’ll learn about how data science practitioners can utilize tools for managing the models they create. You’ll also see those tools showcased in Microsoft Azure.

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One of the most overlooked processes in data science is managing the life cycle of models. In this course, Deploying and Managing Models in Microsoft Azure, you’ll gain foundational knowledge of Azure Machine Learning. First, you’ll discover how to create and utilize Azure Machine Learning. Next, you’ll find out how to integrate with Azure DevOps. Finally, you’ll explore how to utilize them together to automate the deployment and management of models. When you’re finished with this course, you’ll have the skills and knowledge of model life cycle management needed to manage a machine learning project. Software required: Microsoft Azure.
Author Name: Jared Rhodes
Author Description:
Jared Rhodes has been working in technology for about 10 years. When he started his education, he didn’t consider any of the aspects of software development. For his major, he studied physics. Once he graduated, the job market thought his skills were geared towards software development more than physics. His career started at a solar power installer. It was the same as most careers, fixing web pages and batch jobs. After that, he moved into insurance for a year writing a rating engine to give ra… more

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Deploying and Managing Models in Microsoft Azure
Deploying and Managing Models in Microsoft Azure
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