MARC record from Internet Archive

LEADER: 04228cam 2200817Ia 4500
001 ocn844460899
003 OCoLC
005 20211020122559.0
008 130524s2013 caua b 001 0 eng
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016 7 $a016444020$2Uk
019 $a844728943$a858076340$a869799113$a877951232$a1039572038
020 $a1449361323$q(pbk.)
020 $a9781449361327$q(pbk.)
035 $a(OCoLC)844460899$z(OCoLC)844728943$z(OCoLC)858076340$z(OCoLC)869799113$z(OCoLC)877951232$z(OCoLC)1039572038
037 $bOreilly & Associates Inc, C/O Ingram Pub Services 1 Ingram Blvd, LA Vergne, TN, USA, 37086
050 4 $aQA76.9.D343$bP76 2013
082 04 $a006.312$223
100 1 $aProvost, Foster,$d1964-
245 10 $aData science for business :$b[what you need to know about data mining and data-analytic thinking] /$cFoster Provost and Tom Fawcett.
246 14 $aWhat you need to know about data mining and data-analytic thinking
250 $a1st ed.
260 $aSebastopol, Calif. :$bO'Reilly,$c2013.
300 $axxi, 386 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
500 $aSubtitle from cover.
504 $aIncludes bibliographical references (pages 361-368) and index.
505 0 $aIntroduction : data-analytic thinking -- Business problems and data science solutions -- Introduction to predictive modeling : from correlation to supervised segmentation -- Fitting a model to data -- Overfitting and its avoidance -- Similarity, neighbors, and clusters -- Decision analytic thinking I : what is a good model? -- Visualizing model performance -- Evidence and probabilities -- Representing and mining text -- Decision analytic thinking II : toward analytical engineering -- Other data science tasks and techniques -- Data science and business strategy -- Conclusion.
520 $aProvides an introduction to the fundamental principles of data science, walking the reader through the "data-analytic thinking" necessary for extracting useful knowledge and business value from collected data.
650 0 $aData mining.
650 0 $aBig data.
650 0 $aInformation science.
650 0 $aBusiness$xData processing.
650 2 $aData Mining.
650 2 $aInformation Science.
650 2 $aCommerce.
650 2 $aElectronic Data Processing.
650 7 $aSciences de l'information.$2eclas
650 7 $aBig data.$2fast$0(OCoLC)fst01892965
650 7 $aBusiness$xData processing.$2fast$0(OCoLC)fst00842293
650 7 $aData mining.$2fast$0(OCoLC)fst00887946
650 7 $aInformation science.$2fast$0(OCoLC)fst00972640
650 7 $aData Mining$2gnd
650 7 $aBig Data$2gnd
650 7 $aBusiness Intelligence$2gnd
650 7 $aData mining.$2nli
650 7 $aBig data.$2nli
650 7 $aBusiness$xData processing.$2nli
700 1 $aFawcett, Tom.
856 41 $uhttp://www.dawsonera.com/depp/reader/protected/external/AbstractView/S9781449374297$zView this book online, via DawsonERA, both on- and off-campus
856 42 $zAdditional Information at Google Books$uhttp://books.google.com/books?isbn=1449361323
938 $aBrodart$bBROD$n104737530
938 $aBaker and Taylor$bBTCP$nBK0013366760
938 $aCoutts Information Services$bCOUT$n25459241
938 $aYBP Library Services$bYANK$n10717583
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948 $hNO HOLDINGS IN P4A - 479 OTHER HOLDINGS