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Algorithms of the Intelligent Web, Dmitry Babenko
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Znajduje się w: Montgomery Illinois, Stany Zjednoczone
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Szacowana między Pt, 22 sie a Wt, 26 sie do 94104
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Ostatnia aktualizacja: 17-06-2025 21:30:12 CEST Wyświetl wszystkie poprawkiWyświetl wszystkie poprawki
Parametry przedmiotu
- Stan
- Book Title
- Algorithms of the Intelligent Web
- ISBN
- 1617292583
- EAN
- 9781617292583
- Date of Publication
- 20160908
- Release Title
- Algorithms of the Intelligent Web
- Artist
- Dmitry Babenko
- Brand
- N/A
- Colour
- N/A
O tym produkcie
Product Identifiers
Publisher
Manning Publications Co. LLC
ISBN-10
1617292583
ISBN-13
9781617292583
eBay Product ID (ePID)
219188278
Product Key Features
Number of Pages
240 Pages
Language
English
Publication Name
Algorithms of the Intelligent Web, Second Edition
Subject
Programming / Algorithms, Intelligence (Ai) & Semantics, Computer Science, Web / Design, Databases / Data Mining
Publication Year
2016
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
0.4 in
Item Weight
15.2 Oz
Item Length
9.3 in
Item Width
7.5 in
Additional Product Features
Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
2016-439728
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
006.76
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., 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., 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
LC Classification Number
QA76.9.A43M387 2016
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- g***r (1765)- Opinie wystawione przez kupującego.Ostatni miesiącZakup potwierdzonyThank you!