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Allgorithms 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 da...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: McIlwraith, Douglas G. (Autor), Marmanis, Haralambos, 1970- (Autor), Babenko, Dmitry (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Shelter Island, NY : Manning Publications Co., [2016]
Edición:Second edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a McIlwraith, Douglas G.,  |e author. 
245 1 0 |a Allgorithms of the intelligent web /  |c Douglas G. McIlwraith, Haralambos Marmanis, Dmitry Babenko. 
246 3 |a Algorithms of the intelligent web 
250 |a Second edition. 
264 1 |a Shelter Island, NY :  |b Manning Publications Co.,  |c [2016] 
264 4 |c ©2016 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Online resource; title from title page (Safari, viewed October 4, 2016). 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
520 |a 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. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Computer algorithms. 
650 0 |a Web site development. 
650 0 |a Artificial intelligence. 
650 2 |a Algorithms 
650 2 |a Artificial Intelligence 
650 6 |a Algorithmes. 
650 6 |a Sites Web  |x Développement. 
650 6 |a Intelligence artificielle. 
650 7 |a algorithms.  |2 aat 
650 7 |a artificial intelligence.  |2 aat 
650 7 |a Artificial intelligence  |2 fast 
650 7 |a Computer algorithms  |2 fast 
650 7 |a Web site development  |2 fast 
700 1 |a Marmanis, Haralambos,  |d 1970-  |e author. 
700 1 |a Babenko, Dmitry,  |e author. 
776 0 8 |i Erscheint auch als:  |n Druck-Ausgabe  |z 9781617292583  |w (DE-604)BV044200355 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781617292583/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
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