000			01725nam a22002297a 4500
005			20260707124348.0
008			260309b |||||||| |||| 00| 0 eng d
020			_a9781032878140
040			_cPK-LaUMT
082			_a006.31 _bFAU-C
100	1		_aFaul, A. C. _99693
245	1	2	_aA concise introduction to machine learning / _cA. C. Faul
250			_a2nd ed.
260			_aBoca Raton : _bCRC Press, _c2025
300			_axxvii, 323 p.
490			_aChapman & Hall/CRC machine learning & pattern recognition
500			_aIncludes bibliographical references and index.
520			_a"A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and Matlab® which are available on GitHub and can be run from there in Binder in a web browser. Each chapter concludes with exercises to explore the content. The emphasis of the book is on the question of Why - only if why an algorithm is successful is understood, can it be properly applied, and the results trusted. Standard techniques are treated rigorously, including an introduction to the necessary probability theory. This book addresses the commonalities and aims to give a thorough and in-depth treatment and develop intuition, while remaining concise. This useful reference should be an essential on the bookshelves of anyone employing machine learning techniques, since it is born out of strong experience in university teaching and research on algorithms, while remaining approachable and readable"-- Provided by publisher
546			_aEng
650			_aMachine learning textbooks _98061
942			_cBK
999			_c140038 _d140038