Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
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Buy Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning Series) by Kevin P. Murphy, Francis Bach (ISBN: 9780262018029) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders.
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series) [Kevin P. Murphy] on *FREE* shipping on qualifying offers. A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis.
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series) by Kevin P. Murphy(2012-08-24) | Kevin P. Murphy | ISBN: | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch Amazon.
[Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning) (Adaptive Computation and Machine Learning series)] [By: Koller, Daphne] [November, 2009] | Daphne Koller | ISBN: | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch Amazon.
Deep Learning Adaptive Computation and Machine Learning Series lina mckinney. Unsubscribe from lina mckinney? Cancel Unsubscribe. Subscribe Subscribed Unsubscribe 13. Loading ...
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The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and ...
Dieser Artikel: Machine Learning: A Probabilistic Perspective (Adaptive computation and machine learning.) von Kevin P. Murphy Gebundene Ausgabe EUR 97,17 Auf Lager. Versandt und verkauft von Amazon.
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers.
