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Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
By using concrete examples, minimal theory, and two production-ready Python frameworks&;Scikit-Learn and TensorFlow&;author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You&;ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you&;ve learned, all you need is programming experience to get started.
L'autore:
Aurélien Géron is a machine learning consultant and trainer. A former Googler, he led YouTube's video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst (a leading Wireless ISP in France) from 2002 to 2012, and a founder and CTO of two consulting firms -- Polyconseil (telecom, media and strategy) and Kiwisoft (machine learning and data privacy).
Titolo: Hands-On Machine Learning with Scikit-Learn,...
Casa editrice: O'Reilly Media; 2nd edition
Data di pubblicazione: 2019
Legatura: Paperback
Condizione: USED BOOKS
Edizione: seconda edizione
Da: UK BOOKS STORE, London, LONDO, Regno Unito
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Condizione: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: Second ] Publisher: O'Reilly Media Pub Date: 10/15/2019 Binding: Paperback Pages: 256 Second edition. Codice articolo 6898117
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