HOME | BESTSELLERS | NEW RELEASES | PRICE WATCH | FICTION | BIOGRAPHIES | E-BOOKS |
+ PRICE WATCH
* Amazon pricing is not included in price watch
Learning from Data: Concepts, Theory, and Methods Book
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.Read More
from£138.02 | RRP: * Excludes Voucher Code Discount Also available Used from £94.84
- 0471681822
- 9780471681823
- Vladimir Cherkassky, Filip M. Mulier
- 11 September 2007
- Wiley-Blackwell
- Hardcover (Book)
- 538
- 2nd Edition
As an Amazon Associate we earn from qualifying purchases. If you click through any of the links below and make a purchase we may earn a small commission (at no extra cost to you). Click here to learn more.
Would you like your name to appear with the review?
We will post your book review within a day or so as long as it meets our guidelines and terms and conditions. All reviews submitted become the licensed property of www.find-book.co.uk as written in our terms and conditions. None of your personal details will be passed on to any other third party.
All form fields are required.