Algorithms of the Intelligent Web - Couverture souple

Douglas McIlwraith ; Haralambos Marmanis ; Dmitry Babenko

9781617292583: Algorithms of the Intelligent Web

Couverture souple

ISBN 10 : 1617292583 ISBN 13 : 9781617292583

Editeur : Manning, 2016

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Summary

Algorithms of the Intelligent Web, Second Edition teaches the most important approaches to algorithmic web data analysis, enabling you to create your own machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors and website logs.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Valuable insights are buried in the tracks web users leave as they navigate pages and applications. You can uncover them by using intelligent algorithms like the ones that have earned Facebook, Google, and Twitter a place among the giants of web data pattern extraction.

About the Book

Algorithms of the Intelligent Web, Second Edition teaches you how to create machine learning applications that crunch and wrangle data collected from users, web applications, and website logs. In this totally revised edition, you'll look at intelligent algorithms that extract real value from data. Key machine learning concepts are explained with code examples in Python's scikit-learn. This book guides you through algorithms to capture, store, and structure data streams coming from the web. You'll explore recommendation engines and dive into classification via statistical algorithms, neural networks, and deep learning.

What's Inside

Introduction to machine learning
Extracting structure from data
Deep learning and neural networks
How recommendation engines work

About the Reader

Knowledge of Python is assumed.

About the Authors

Douglas McIlwraith is a machine learning expert and data science practitioner in the field of online advertising. Dr. Haralambos Marmanis is a pioneer in the adoption of machine learning techniques for industrial solutions. Dmitry Babenko designs applications for banking, insurance, and supply-chain management. Foreword by Yike Guo.

Table of Contents

Building applications for the intelligent web
Extracting structure from data: clustering and transforming your data
Recommending relevant content
Classification: placing things where they belong
Case study: click prediction for online advertising
Deep learning and neural networks
Making the right choice
The future of the intelligent web
Appendix - Capturing data on the web

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l?auteur

Douglas McIlwraith earned his first degree at Cambridge in computer science before completing a PhD in sensor fusion from Imperial College in London. He is a machine learning expert, currently working as senior data scientist for a London-based advertising company.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Manning
Date d'�dition: 2016
Langue: anglais
ISBN 10: 1617292583
ISBN 13: 9781617292583
Reliure: Broch�
Num�ro d'�dition: 2
Nombre de pages: 240
Coordonn�es du fabricant: Pearson Benelux BV
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Algorithms of the Intelligent Web

Douglas McIlwraith

Edit� par Manning Publications, 2016

ISBN 10 : 1617292583 ISBN 13 : 9781617292583

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Algorithms of the Intelligent Web

Douglas McIlwraith

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ISBN 10 : 1617292583 ISBN 13 : 9781617292583

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Algorithms of the Intelligent Web

Douglas McIlwraith

Edit� par Manning Publications, 2016

ISBN 10 : 1617292583 ISBN 13 : 9781617292583

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Algorithms of the Intelligent Web

McIlwraith, Douglas & Haralambos Marmanis & Dmitry Babenko

Edit� par Manning Publications, 2016

ISBN 10 : 1617292583 ISBN 13 : 9781617292583

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Algorithms of the Intelligent Web, Second Edition

Dmitry Babenko, Haralambos Marmanis, Douglas G McIlwraith

Edit� par Manning Publications, US, 2016

ISBN 10 : 1617292583 ISBN 13 : 9781617292583

Neuf Paperback

Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni

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Paperback. Etat : New. DESCRIPTION There's priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction. Improved search, data classification, and other smart pattern matching techniques can give an enormous advantage to understanding and interacting with users. � Algorithms of the Intelligent Web, Second Edition has been totally revised and teaches the most important approaches to algorithmic web data analysis, enabling readers to create machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors, and website logs. Key machine learning concepts are explained and introduced with many code examples in Python's scikit-learn. The book guides readers through the underlying machinery and intelligent algorithms to capture, store, and structure data streams. Readers will explore recommendation engines from the example of Netflix movie recommendations and dive into classification via statistical algorithms, neural networks, and deep learning. They will also consider the ins and outs of ranking and how to test applications based on intelligent algorithms. � KEY�SELLING POINTS � Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic � AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet technology. � ABOUT THE TECHNOLOGY This book provides an overview, with easy to access examples, of algorithms which learn from data. Such algorithms have been widely adopted by many large internet companies such as Facebook and Google and are continuing to grow in popularity. This book has many examples in Python using the scikit-learn library, however the concepts presented are technology agnostic and can be easily applied with any common programming language. N� de r�f. du vendeur LU-9781617292583

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Algorithms of the Intelligent Web, Second Edition (Paperback)

Douglas McIlwraith

Edit� par Manning Publications, New York, 2016

ISBN 10 : 1617292583 ISBN 13 : 9781617292583

Neuf Paperback

Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis

�valuation du vendeur 5 sur 5 �toiles

Paperback. Etat : new. Paperback. DESCRIPTION There's priceless insight trapped in the flood of data users leave behind as they interact with web pages and applications. Those insights can be unlocked by using intelligent algorithms like the ones that have earned Facebook, Google, Twitter, and Microsoft a place among the giants of web data pattern extraction. Improved search, data classification, and other smart pattern matching techniques can give an enormous advantage to understanding and interacting with users. Algorithms of the Intelligent Web, Second Edition has been totally revised and teaches the most important approaches to algorithmic web data analysis, enabling readers to create machine learning applications that crunch, munge, and wrangle data collected from users, web applications, sensors, and website logs. Key machine learning concepts are explained and introduced with many code examples in Python's scikit-learn. The book guides readers through the underlying machinery and intelligent algorithms to capture, store, and structure data streams. Readers will explore recommendation engines from the example of Netflix movie recommendations and dive into classification via statistical algorithms, neural networks, and deep learning. They will also consider the ins and outs of ranking and how to test applications based on intelligent algorithms. KEY SELLING POINTS Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet technology. ABOUT THE TECHNOLOGY This book provides an overview, with easy to access examples, of algorithms which learn from data. Such algorithms have been widely adopted by many large internet companies such as Facebook and Google and are continuing to grow in popularity. This book has many examples in Python using the scikit-learn library, however the concepts presented are technology agnostic and can be easily applied with any common programming language. KEY SELLING POINTS Machine learning for newbies Easily accessed examples Concepts presented are technology agnostic AUDIENCE To get the most from this book, you should have a good foundation in Java programming and a general understanding of internet technology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9781617292583

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