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Microsoft Azure Essentials Azure Machine Learning book cover
Microsoft Azure Essentials Azure Machine Learning
2015
First Published
3.85
Average Rating
236
Number of Pages

Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.

Avg Rating
3.85
Number of Ratings
67
5 STARS
39%
4 STARS
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3 STARS
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2 STARS
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1 STARS
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Author

Jeff Barnes
Author · 4 books
A freelance writer and fifth-generation Nebraskan, Jeff Barnes is a former newspaper reporter and editor, past chairman of the Nebraska Hall of Fame Commission, and former marketing director for the Durham Western Heritage Museum. He traveled more than 13,000 miles in researching and photographing Forts of the Northern Plains, his first book.
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