9781484212011-1484212010-Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition

Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition

ISBN-13: 9781484212011
ISBN-10: 1484212010
Edition: 2nd ed.
Author: Wee Hyong Tok, Valentine Fontama, Roger Barga
Publication date: 2015
Publisher: Apress
Format: Paperback 314 pages
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Book details

ISBN-13: 9781484212011
ISBN-10: 1484212010
Edition: 2nd ed.
Author: Wee Hyong Tok, Valentine Fontama, Roger Barga
Publication date: 2015
Publisher: Apress
Format: Paperback 314 pages

Summary

Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition (ISBN-13: 9781484212011 and ISBN-10: 1484212010), written by authors Wee Hyong Tok, Valentine Fontama, Roger Barga, was published by Apress in 2015. With an overall rating of 3.6 stars, it's a notable title among other AI & Machine Learning (Computer Science) books. You can easily purchase or rent Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition (Paperback, Used) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.36.

Description

Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft Azure Machine Learning service released for general availability on February 18th, 2015 with practical guidance for building recommenders, propensity models, and churn and predictive maintenance models.

The authors use task oriented descriptions and concrete end-to-end examples to ensure that the reader can immediately begin using this new service. The book describes all aspects of the service from data ingress to applying machine learning, evaluating the models, and deploying them as web services.

Learn how you can quickly build and deploy sophisticated predictive models with the new Azure Machine Learning from Microsoft.

What’s New in the Second Edition?

Five new chapters have been added with practical detailed coverage of:

  • Python Integration – a new feature announced February 2015
  • Data preparation and feature selection
  • Data visualization with Power BI
  • Recommendation engines
  • Selling your models on Azure Marketplace
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