Capital International Foundation for Education
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A concise introduction to machine learning / A.C. Faul.

By: Material type: TextSeries: Chapman & Hall/CRC machine learning & pattern recognition seriesPublisher: Boca Raton : CRC Press, Taylor & Francis Group, [2020]Edition: 1st EditionDescription: xix, 314 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780815384205
  • 9780815384106
Subject(s): DDC classification:
  • 006.31 F.A.A 2020 23
LOC classification:
  • Q325.5 .F38 2020
Summary: "Machine Learning is known by many different names, and is used in many areas of science. It is also used for a variety of applications, including spam filtering, optical character recognition, search engines, computer vision, NLP, advertising, fraud detection, robotics, data prediction, astronomy. Considering this, it can often be difficult to find a solution to a problem in the literature, simply because different words and phrases are used for the same concept. This class-tested textbook aims to alleviate this, using mathematics as the common language. It covers a variety of machine learning concepts from basic principles, and llustrates every concept using examples in MATLAB"-- Provided by publisher.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books Capital Universities Foundation Library (CUFL) School of Computer Sciences (ENU) 006.31 F.A.A 2020 (Browse shelf(Opens below)) Available 1382

"A Chapman & Hall book."

Includes bibliographical references (pages 301-303) and index.

"Machine Learning is known by many different names, and is used in many areas of science. It is also used for a variety of applications, including spam filtering, optical character recognition, search engines, computer vision, NLP, advertising, fraud detection, robotics, data prediction, astronomy. Considering this, it can often be difficult to find a solution to a problem in the literature, simply because different words and phrases are used for the same concept. This class-tested textbook aims to alleviate this, using mathematics as the common language. It covers a variety of machine learning concepts from basic principles, and llustrates every concept using examples in MATLAB"-- Provided by publisher.

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