000 02734cam a22004097i 4500
999 _c58427
_d58427
001 19077328
005 20170814140847.0
008 090717s2016 njua g 001 0 eng d
010 _a 2016940023
020 _a9781119245513 (pbk.)
020 _a9781119245759
020 _z9781119245773 (ebk.)
035 _a(OCoLC)ocn928487067
040 _aYDXCP
_beng
_cYDXCP
_erda
_dBDX
_dBTCTA
_dOCLCQ
_dCCE
_dJRZ
_dUOK
_dZPP
_dOCLCF
_dCGP
_dDLC
041 _aeng
042 _alccopycat
050 0 0 _aQ325.5
_b.M836 2016
082 0 4 _a006.31
_223
_bM M
100 1 _aMueller, John,
_d1958-
_eauthor.
245 1 0 _aMachine learning for dummies /
_cby John Paul Mueller and Luca Massaron.
260 _aHoboken, New Jersey :
_bJohn Wiley & Sons, Inc. ,
_c2016.
265 _aالمكتبة الأكاديمية
300 _axii, 410 pages :
_billustrations ;
_c24 cm.
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. --
650 1 0 _aMachine learning.
650 1 7 _aMachine learning.
_2fast
700 1 _aMassaron, Luca,
_eauthor
830 0 _a--For dummies.
906 _a7
_bcbc
_ccopycat
_d2
_eepcn
_f20
_gy-gencatlg
942 _2ddc
_cBK
_iFOSC
_6FOSC
955 _brl46 2017-03-08 z-processor
_irl46 2017-04-06 to BCCD
955 _apc24 2016-04-28