| 書目名稱 | Predictive Analytics with Microsoft Azure Machine Learning | | 副標(biāo)題 | Build and Deploy Act | | 編輯 | Roger Barga,Valentine Fontama,Wee Hyong Tok | | 視頻video | http://file.papertrans.cn/755/754576/754576.mp4 | | 概述 | The first book on the market to provide an overview and specific details of Microsoft‘s new predictive analytics service, Azure Machine Learning.Provides a structured approach to Data Science and prac | | 圖書封面 |  | | 描述 | .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 chapte | | 出版日期 | Book 20141st edition | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-0445-0 | | isbn_ebook | 978-1-4842-0445-0 | | copyright | Valentine Fontama and Roger Barga and Wee Hyong Tok 2014 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2026-1-24 16:27
發(fā)表于 2025-3-21 17:15:09
