Introduction To Statistical Pattern Recognition Second Edition Computer Science And Scientific Computing Series


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Introduction To Statistical Pattern Recognition Second Edition Computer Science And Scientific Computing Series - Introduction to Statistical Pattern Recognition (Computer Science & Scientific Computing) [Keinosuke Fukunaga] on Amazon.com. *FREE* shipping on qualifying offers. This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems. Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Computing Series). Explore degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics..

Statistics is a branch of mathematics dealing with data collection, organization, analysis, interpretation and presentation. In applying statistics to, for example, a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied. Populations can be diverse topics such as "all people living in a country" or. In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving.

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