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Titlebook: Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition; Roger Barga,Valentine Fontama,Wee Hyong Tok Book 2015Latest editio

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書目名稱Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition
編輯Roger Barga,Valentine Fontama,Wee Hyong Tok
視頻videohttp://file.papertrans.cn/755/754575/754575.mp4
概述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 deployin
圖書封面Titlebook: Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition;  Roger Barga,Valentine Fontama,Wee Hyong Tok Book 2015Latest editio
描述.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
出版日期Book 2015Latest edition
版次2
doihttps://doi.org/10.1007/978-1-4842-1200-4
isbn_softcover978-1-4842-1201-1
isbn_ebook978-1-4842-1200-4
copyrightValentine Fontama and Roger Barga and Wee Hyong Tok 2015
The information of publication is updating

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