Learning from Data: Concepts, Theory, and Methods (2) (Wiley - IEEE)
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- Synopsis
- 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.
- Copyright:
- 2007
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 560 Pages
- ISBN-13:
- 9780470140512
- Related ISBNs:
- 9780470140529, 9780471681823
- Publisher:
- Wiley
- Date of Addition:
- 11/27/19
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.