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A concise introduction to machine learning / A.C. Faul.

By: Material type: TextTextSeries: Chapman & Hall/CRC machine learning & pattern recognition seriesPublication details: Boca Raton, CRC Press, 2020.Description: xix, 314. illustrations ; 24 cmISBN:
  • 9780815384205
  • 9780815384106
Subject(s): DDC classification:
  • 006.31 FAU/C
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"--
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Item type Current library Call number Status Date due Barcode
Books Books Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre Computer Science 006.31 FAU/C (Browse shelf(Opens below)) Available 6844

"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"--

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