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Predictive analytics with Microsoft Azure machine learning[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.74
書名/作者:	Predictive analytics with Microsoft Azure machine learning/ by Roger Barga, Valentine Fontama, Wee Hyong Tok.
作者:	Barga, Roger.
其他作者:	Fontama, Valentine.
出版者:	Berkeley, CA : : Apress :, 2015.
面頁冊數:	250 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Data Mining and Knowledge Discovery.
標題:	Information technology - Management.
標題:	Computer Science.
標題:	Computer Science, general.
ISBN:	9781484212004
ISBN:	9781484212011
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-1-4842-1200-4

Predictive analytics with Microsoft Azure machine learning[electronic resource] /
Barga, Roger.

Predictive analytics with Microsoft Azure machine learning[electronic resource] /by Roger Barga, Valentine Fontama, Wee Hyong Tok. - 2nd ed. - Berkeley, CA :Apress :2015. - 250 p. :ill., digital ;24 cm.

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.

ISBN: 9781484212004

Standard No.: 10.1007/978-1-4842-1200-4doiSubjects--Uniform Titles:

Windows Azure.
Subjects--Topical Terms:

464541
Data Mining and Knowledge Discovery.

LC Class. No.: HD30.2

Dewey Class. No.: 005.74

Predictive analytics with Microsoft Azure machine learning[electronic resource] /
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