Description

Book Synopsis

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.

Algorithms of the Intelligent Web, Second Edition

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    RRP £35.99 – you save £9.00 (25%)

    Order before 4pm tomorrow for delivery by Fri 19 Jun 2026.

    A Paperback / softback by Douglas McIlwraith, Haralambos Marmanis, Dmitry Babenko

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      View other formats and editions of Algorithms of the Intelligent Web, Second Edition by Douglas McIlwraith

      Publisher: Manning Publications
      Publication Date: 12/09/2016
      ISBN13: 9781617292583, 978-1617292583
      ISBN10: 1617292583

      Description

      Book Synopsis

      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.

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