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Learning from Data – Concepts, Theory and Methods 2e
Av Filip M. Mulier, Vladimir Cherkassky, 2007.Del av serien IEEE Press.
Concepts, Theory, and Methods
An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied—showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.
InnbundetEngelsk
Normalpris: 1 929,-
1 736,-
Spar 193,-
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 12 dager
Learning from Data – Concepts, Theory and Methods 2e
Av Filip M. Mulier, Vladimir Cherkassky, 2007.Del av serien IEEE Press.
Concepts, Theory, and Methods
An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied—showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.
Normalpris: 1 929,-
1 736,-
Spar 193,-
InnbundetEngelsk
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 12 dager
1 736,-
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