A concise introduction to machine learning
"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 aim…
Read More ↓Title Statements
- Full title :A concise introduction to machine learning / A. C. Faul.
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"--
Read More ↓Edition Statements
- Publication Date:2020
Publication Statements
- Publisher(s):CRC Press, Taylor & Francis Group
- Place of Publication:Boca Raton, FL
- Language:eng
- Publication Date:2020
The Physical Object
- Description:xix, 314 pages : : illustrations ; : 24 cm
Edition Identifiers
- ISBN:9780815384205, 0815384203, 9780815384106, 0815384106
- oclc:on1048436145
- LC Classification:Q325.5
- Dewey Decimal:006.3/1
Table of Contents
Introduction -- Probability theory -- Sampling -- Linear classification -- Non-linear classification -- Clustering -- Dimensionality reduction -- Regression -- Feature learning.
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