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Author Barga, Roger, author.

Title Predictive analytics with Microsoft Azure Machine Learning : build and deploy actionable solutions in minutes / Roger Barga, Valentine Fontama, Wee Hyong Tok. [O'Reilly electronic resource]

Publication Info. [New York, New York] : Apress, 2014.
©2014
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Description 1 online resource
text file PDF rda
Summary Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive and diagnostic analysis, Data Science unlocks new opportunities through predictive and prescriptive analysis. The purpose of this book is to provide a gentle and instructionally organized introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book also provides a thorough overview of the Microsoft Azure Machine Learning service using task oriented descriptions and concrete end-to-end examples, sufficient to ensure the reader can immediately begin using this important new service. It describes all aspects of the service from data ingress to applying machine learning and evaluating the resulting model, to deploying the resulting model as a machine learning web service. Finally, this book attempts to have minimal dependencies, so that you can fairly easily pick and choose chapters to read. When dependencies do exist, they are listed at the start and end of the chapter. The simplicity of this new service from Microsoft will help to take Data Science and Machine Learning to a much broader audience than existing products in this space. Learn how you can quickly build and deploy sophisticated predictive models as machine learning web services with the new Azure Machine Learning service from Microsoft.
Bibliography Includes bibliographical references and index.
Subject Windows Azure.
Windows Azure
Information technology -- Management.
Database management.
Electronic Data Processing
Informatique.
Bases de données -- Gestion.
Technologie de l'information -- Gestion.
Database management
Information technology -- Management
Indexed Term computerwetenschappen
computer sciences
databasebeheer
database management
Information and Communication Technology (General)
Informatie- en communicatietechnologie (algemeen)
Added Author Fontama, Valentine, author.
Tok, Wee-Hyong, author.
Other Form: Printed edition: 9781484204467
ISBN 9781484204450 electronic bk.
148420445X electronic bk.
(print)
Standard No. 10.1007/978-1-4842-0445-0 doi
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