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(Ebook) Learning from data: concepts, theory, and methods by Vladimir Cherkassky, Filip M. Mulier ISBN 9780470140512, 9780471681823, 0470140518, 0471681822

  • SKU: EBN-896776
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Authors:Vladimir Cherkassky, Filip M. Mulier
Pages:557 pages.
Year:2007
Editon:2nd ed
Publisher:IEEE Press :, Wiley-Interscience
Language:english
File Size:3.73 MB
Format:pdf
ISBNS:9780470140512, 9780471681823, 0470140518, 0471681822
Categories: Ebooks

Product desciption

(Ebook) Learning from data: concepts, theory, and methods by Vladimir Cherkassky, Filip M. Mulier ISBN 9780470140512, 9780471681823, 0470140518, 0471681822

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.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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