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Book Knowledge Discovery Support Vector (Wiley Series on Methods and Applications in Data Mining)

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Knowledge Discovery Support Vector (Wiley Series on Methods and Applications in Data Mining)

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    Available in PDF - DJVU Format | Knowledge Discovery Support Vector (Wiley Series on Methods and Applications in Data Mining).pdf | Language: ENGLISH
    Hamel(Author)

    Book details


An easy–to–follow introduction to support vector machines

This book provides an in–depth, easy–to–follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover:

  • Knowledge discovery environments

  • Describing data mathematically

  • Linear decision surfaces and functions

  • Perceptron learning

  • Maximum margin classifiers

  • Support vector machines

  • Elements of statistical learning theory

  • Multi–class classification

  • Regression with support vector machines

  • Novelty detection

Complemented with hands–on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas.

An easy–to–follow introduction to support vector machines

2.2 (6937)
  • Pdf

*An electronic version of a printed book that can be read on a computer or handheld device designed specifically for this purpose.

Formats for this Ebook

PDF
Required Software Any PDF Reader, Apple Preview
Supported Devices Windows PC/PocketPC, Mac OS, Linux OS, Apple iPhone/iPod Touch.
# of Devices Unlimited
Flowing Text / Pages Pages
Printable? Yes

Book details

  • PDF | 264 pages
  • Hamel(Author)
  • John Wiley & Sons; 1 edition (21 July 2009)
  • English
  • 8
  • Computing & Internet

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