Algorithms of the Intelligent Web, Second Edition

McIlwraith, Douglas Douglas McIlwraith, Haralambos Marmanis, Dmitry Babenko,

ISBN 10: 1617292583 / ISBN 13: 9781617292583

Verlag: Manning Publications, 2016

Beschreibung

Algorithms of the Intelligent Web, Second Edition This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Bestandsnummer des Verkäufers 7719-9781617292583

Bibliografische Details

Titel: Algorithms of the Intelligent Web, Second ...

Verlag: Manning Publications

Erscheinungsdatum: 2016

Einband: paperback

Zustand: Very Good

Auflage: 2. Auflage

Über diesen Titel

Inhaltsangabe:

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.

Über die Autorin bzw. den Autor:

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.

 

Dr. Haralambos Marmanis is a pioneer in the adoption of machine learning techniques for industrial solutions. He has 25 years experience in developing professional software.

 

Dmitry Babenko has designed and built a wide variety of applications and infrastructure frameworks for banking, insurance, supply-chain management, and business intelligence companies. He received a M.S. degree in computer science from Belarussian State University of Informatics and Radioelectronics.