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Predictive Analytics with Microsoft Azure Machine Learning 2n... - 9781484212011

Description: Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Valentine Fontama, Roger Barga, Wee Hyong Tok Format: Paperback Publisher: APress, United States Imprint: APress ISBN-13: 9781484212011, 978-1484212011 Synopsis 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

Price: 45.86 GBP

Location: Aldershot

End Time: 2024-11-03T09:04:12.000Z

Shipping Cost: 26.16 GBP

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Predictive Analytics with Microsoft Azure Machine Learning 2n... - 9781484212011

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Book Title: Predictive Analytics with Microsoft Azure Machine Learning 2nd...

Number of Pages: 291 Pages

Language: English

Publication Name: Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition

Publisher: Apress

Publication Year: 2015

Subject: Computer Science

Item Height: 235 mm

Item Weight: 4861 g

Type: Textbook

Author: Wee Hyong Tok, Valentine Fontama, Roger Barga

Item Width: 155 mm

Format: Paperback

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