Algorithms of the intelligent web / Douglas G. McIlwraith, Haralambos Marmanis, Dmitry Babenko.
Material type: TextPublication details: New York: Manning Publications, c2016Edition: Second editionDescription: xviii, 222 pages : illustrations ; 24 cmISBN:- 1617292583
- 9781617292583
- 006.76 23
- QA76.9.A43 M37 2016
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.