Faul, A. C.
A concise introduction to machine learning / Anita Faul. - 1 online resource. - Chapman & Hall/CRC machine learning & pattern recognition .
Introduction -- Probability theory -- Sampling -- Linear classification -- Non-linear classification -- Dimensionality reduction -- Regression -- Feature 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 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"--
9781351204750 1351204750 9781351204736 1351204734 9781351204743 1351204742 9781351204729 1351204726
10.1201/9781351204750 doi
Machine learning--Textbooks.
BUSINESS & ECONOMICS / Statistics
COMPUTERS / General
COMPUTERS / Computer Graphics / Game Programming & Design
Q325.5 / .F38 2020eb
006.3/1
A concise introduction to machine learning / Anita Faul. - 1 online resource. - Chapman & Hall/CRC machine learning & pattern recognition .
Introduction -- Probability theory -- Sampling -- Linear classification -- Non-linear classification -- Dimensionality reduction -- Regression -- Feature 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 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"--
9781351204750 1351204750 9781351204736 1351204734 9781351204743 1351204742 9781351204729 1351204726
10.1201/9781351204750 doi
Machine learning--Textbooks.
BUSINESS & ECONOMICS / Statistics
COMPUTERS / General
COMPUTERS / Computer Graphics / Game Programming & Design
Q325.5 / .F38 2020eb
006.3/1