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

Format:

Book

Author/Creator:

McIlwraith, Douglas G., author.

Marmanis, Haralambos, 1970- author.

Babenko, Dmitry, author.

Language:

English

Subjects (All):

Computer algorithms.

Web site development.

Artificial intelligence.

Physical Description:

1 online resource (1 volume) : illustrations

Edition:

Second edition.

Other Title:

Algorithms of the intelligent web

Place of Publication:

Shelter Island, New York : Manning Publications, [2016]

System Details:

text file

Summary:

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. 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 Dr. 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.

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.

Notes:

Includes bibliographical references and index.

Description based on print version record.

Includes index.

ISBN:

9781638351450

1638351457

9781617292583

1617292583

OCLC:

959983335