.Net Data Science P 322 p. 17

著者：Bill', William Ryan

【重要事項説明】

1.	手配先によって価格が異なります。
2.	納期遅延や入手不能となる場合がございます。
3.	海外のクリスマス休暇等、お正月等の長期休暇時期の発注は、納期遅延となる場合がございます。
4.	天候（国内・海外）により空港の発着・貨物受入不能の発生により納期遅延となる場合がございます。
5.	複数冊数のご注文の場合、分納となる場合がございます。
6.	美品のご指定は承りかねます。

手配先：海外仕入UK他

• 現地価格：£30.99
• お届けまでの予想日数： 6週間～7週間
• この書籍は絶版となりました。
• 組合員価格：¥7,356 (税込)

内容の説明

Gain insights from your data quicker and easier than ever before using your own C#! About This Book This easy-to-follow guide will help you enter the field of Data Science with C# Learn to use various .NET APIs and perform exploratory data analysis that starts with a few data journalism questions and ends with intuitive visualizations Explore the power of C#'s cool Data Science libraries and learn to perform complex computations using this hands-on guide! Who This Book Is ForIf you are a seasoned C# developer with knowledge of the Microsoft technology stack and a good background in mathematics, then this book is for you. A basic understanding of statistics and probability is necessary to get the most out of this book. This book will also be useful for those data scientists who want to know how to perform data analysis with C#. What you will learn Be reintroduced to the world of .NET statistics and calculus libraries and frameworks Overcome the pitfalls of modeling your data for simple to complex analysis Use the tools to utilize the statistical models for designing custom Machine Learning applications Know how to deal with high volumes of data and scale your ASP.NET application to match the performance requirements of your Data Science application Integrate various tools such as ATOM (ASP.NET MVC), Data Science libraries such as Accord.NET, Python's Natural Language Toolkit, and SWIRL to achieve precise data manipulations and intuitive visualizations Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and deep learning In DetailData Science is a new field that is still being defined. It's existed largely in academia and "start-ups," yet stands at the core of the world's most important, fun, and useful software. Because it was traditionally done in an elite academic setting, proprietary software was not included. With Microsoft taking a much more different approach with licensing, Data Science ca

登録情報

商品コード：1023199103
出版社: Packt Publishing Ltd.
出版年月: 2017/02
ISBN-10: 1786460289
ISBN-13: 978-1-78646-028-8
出版国: イギリス
装丁: paper/Kt./br.
媒体: 冊子
ページ数: 322 p.
ジャンル: 情報科学：概論