MARC record from Internet Archive

LEADER: 02436cam 2200409Ii 4500
001 9925303891201661
005 20180110154722.6
008 141113t20162017caua 001 0 eng d
019 $a895302907
020 $a9781449369415
020 $a1449369413
035 $a99975319795
035 $a(OCoLC)895728667$z(OCoLC)895302907
035 $a(OCoLC)ocn895728667
040 $aBTCTA$beng$erda$cBTCTA$dYDXCP$dBDX$dOCLCQ$dJBL$dAPL$dTEF$dOCLCF$dAHS$dCHVBK$dOCLCO$dMVP$dFIE$dI8M$dCDN
050 4 $aQA76.73.P98$bM85 2016
082 04 $a005.133$223
100 1 $aMu ller, Andreas C.,$eauthor.
245 10 $aIntroduction to machine learning with Python :$ba guide for data scientists /$cAndreas C. Mu ller and Sarah Guido.
246 30 $aMachine learning with Python
250 $aFirst edition.
264 1 $aSebastopol, CA :$bO'Reilly Media, Inc.,$c2016.
264 4 $c℗♭2017
300 $axii, 376 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
336 $astill image$bsti$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
500 $aIncludes index.
505 0 $aIntroduction -- Supervised learning -- Unsupervised learning and preprocessing -- Representing data and engineering features -- Model evaluation and improvement -- Algorithm chains and pipelines -- Working with text data -- Wrapping up.
520 $aMachine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Mu ller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. --$cProvided by publisher.
650 0 $aPython (Computer program language)
650 0 $aProgramming languages (Electronic computers)
650 0 $aData mining.
700 1 $aGuido, Sarah,$eauthor.
947 $hCIRCSTACKS$r31786103107824
980 $a99975319795