000			02862cam a22004457i 4500
999			_c534812 _d534812
001			19077328
003			NUST
005			20200617133615.0
008			160428s2016 njua 001 0 eng d
010			_a 2016940023
020			_a9781119245513 (pbk.)
020			_a1119245516
020			_z9781119245773 (ebk.)
035			_a(OCoLC)ocn928487067
038			_aWASEEM
040			_aYDXCP _beng _cYDXCP _erda _dBDX _dBTCTA _dOCLCQ _dCCE _dJRZ _dUOK _dZPP _dOCLCF _dCGP _dDLC
042			_alccopycat
050	0	0	_aQ325.5 _b.M836 2016
082	0	4	_a006.31 _bMUE
100	1		_aMueller, John, _d1958- _eauthor. _929181
245	1	0	_aMachine learning for dummies / _cby John Paul Mueller and Luca Massaron.
264		1	_aHoboken, New Jersey : _bJohn Wiley & Sons, Inc., _c[2016]
300			_axii, 410 pages : _billustrations ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aFor dummies
500			_a"Learning made easy"--Cover.
500			_aIncludes index.
505	0		_aIntroducing how machines learn -- Preparing your learning tools -- Getting started with the math basics -- Learning from smart and big data -- Applying learning to real problems -- The part of tens.
520			_aMachine learning is an exciting new way to use computers to perform tasks that require the ability to learn from experience. In order to make machine learning a reality, programmers rely on special languages, such as Python and R, and new types of tools. Machine Learning For Dummies helps the reader understand what machine learning is, when it can help perform a new class of computer tasks, and how to implement machine learning using Python and R, along with the required tools. Unlike most machine learning books, Machine Learning For Dummies does not assume that the reader has years of experience using programming languages. This book provides the much-needed entry point for people who really could use machine learning to accomplish practical tasks, but dont necessarily have the skills required to use on more advanced books. This book will cover the entry level materials required to get readers up and running faster, how to perform practical tasks, how to perform useful work without getting overly involved in the underlying math principles, fun ways to play with new tools and learn as a result, and how to separate facts from myth to see how machine learning is useful in todays world. -- _cPublisher
650		0	_aMachine learning. _9966
650		7	_aMachine learning. _2fast _0(OCoLC)fst01004795 _9966
700	1		_aMassaron, Luca, _eauthor _929182
830		0	_a--For dummies. _98103
906			_a7 _bcbc _ccopycat _d2 _eepcn _f20 _gy-gencatlg
942			_2ddc _cBK