A concise introduction to machine learning / A.C. Faul.
Material type:
TextSeries: Chapman & Hall/CRC machine learning & pattern recognition seriesPublication details: Boca Raton : CRC Press, Taylor and Francis Group, c 2020.Description: xix, 314 pages : illustrations ; 24 cmISBN: - 9780815384205
- 9780815384106
- 006.31 23 FAU-A 2020 789579
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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Books
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Faculty of CS & IT Library CS & IT Shelf No. 44 New Arrival | Book | 006.31 FAU-A 2020 789578 (Browse shelf(Opens below)) | C 1 | Available | 789578 | |||
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Books
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Faculty of CS & IT Library CS & IT Shelf No. 44 New Arrival | Book | 006.31 FAU-A 2020 789579 (Browse shelf(Opens below)) | C 2 | Available | 789579 |
"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"--