000			01546nam a22002777a 4500
003			EG-NbEJU
005			20241127231513.0
008			240729s2020 flu gr 000 0 eng d
020			_a9781138492530
040			_aEG-NbEJU _beng _cEG-NbEJU _dEG-NbEJU
041			_aeng
050	0	0	_aQ325.5 _bK76 2020
100	1		_aKroese , Dirk P.
245	1	0	_aData Science and Machine Learning : _bMathematical and Statistical Methods / _cDirk P. Kroese , Zdravko Botev , Thomas Taimre , Radislav Vaisman
260			_aBoca Raton : _bCRC Press , _c2020
300			_a513 Pages ; _c24 cm
500			_aIncludes Index
520			_a"This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathematics students at the advanced undergraduate or early graduate level. This book fills a sorely-needed gap in the existing literature by not sacrificing depth for breadth, presenting proofs of major theorems and subsequent derivations, as well as providing a copious amount of Python code. I only wish a book like this had been around when I first began my journey!" -Nicholas Hoell, University of Toronto
650		0	_aMachine learning _xMathematics
650		0	_aMachine learning _xStatistical methods
700	1		_aTaimre , Thomas _eCo-author
700	1		_aVaisman , Radislav _eCo-author
901			_aنورهان
902			_aENG_03_ (136)
942			_2lcc _cBK
999			_c2803 _d2803