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Books Books 1 - 10 of about 30 related to Pattern Recognition and Machine Learning.   

Statistical Inference

George Casella, Roger L. Berger - Mathematical statistics - 1990 - 650 pages
This text provides information on topics such as ancillarity, invariance, Bayesian methods, pivots, Stein estimation, errors in variables and inequalities. The authors discuss ...
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Bayesian Reasoning and Machine Learning

David Barber - Computers - 2012 - 697 pages
A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
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Digital Signal Processing: A Practical Guide for Engineers and Scientists

Steven W. Smith - Computers - 2003 - 650 pages
Designed for engineers and scientists in a wide variety of fields, this practical text aims to explain DSP techniques while avoiding the barriers of abstract theory and ...
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Machine Learning: A Probabilistic Perspective

Kevin P. Murphy - Computers - 2012 - 1067 pages
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
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Pattern Recognition and Machine Learning

Yūichirō Anzai - Computers - 1992 - 407 pages
Recognition and learning by a computer. Representing information. Generation and transformation of representations. Pattern feature extraction. Pattern understanding methods ...
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Nearest-neighbor Methods in Learning and Vision: Theory and Practice

Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk - Computers - 2005 - 252 pages
Advances in computational geometry and machine learning that offer new methods for search, regression, and classification with large amounts of high-dimensional data.
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The Art Of Organizing Anything

Maggio - 2009 - 240 pages
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