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Algorithms of the intelligent web / Douglas G. McIlwraith, Haralambos Marmanis, Dmitry Babenko.

By: Contributor(s): Material type: TextTextPublication details: New York: Manning Publications, c2016Edition: Second editionDescription: xviii, 222 pages : illustrations ; 24 cmISBN:
  • 1617292583
  • 9781617292583
Subject(s): DDC classification:
  • 006.76 23
LOC classification:
  • QA76.9.A43 M37 2016
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.
Summary: 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. -- Provided by publisher.
Item type: Books
Holdings
Current library Collection Call number Vol info Status Date due Barcode
Judith Thomas Library General Stacks BKS QA 76.9 .A43 M37 2016 (Browse shelf(Opens below)) AUA25940 Available AUA25940

Includes index.

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.

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. -- Provided by publisher.