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By:Douglas G McIlwraith,Haralambos Marmanis,Dmitry Babenko
Published on 2016-09-08 by Manning Publications


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

This Book was ranked at 2 by Google Books for keyword Data in the Enterprise.

Book ID of Algorithms of the Intelligent Web's Books is YVI-jgEACAAJ, Book which was written byDouglas G McIlwraith,Haralambos Marmanis,Dmitry Babenkohave ETAG "HRpZJFZYlk0"

Book which was published by Manning Publications since 2016-09-08 have ISBNs, ISBN 13 Code is 9781617292583 and ISBN 10 Code is 1617292583

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Book which have "240 Pages" is Printed at BOOK under CategoryComputers

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Algorithms of the Intelligent Web byDouglas G McIlwraith,Haralambos Marmanis,Dmitry Babenko

Algorithms of the Intelligent Web -Douglas G McIlwraith,Haralambos Marmanis,Dmitry Babenko- 9781617292583

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