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010   $a9781484235256
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024 7 $a10.1007/978-1-4842-3525-6
035   $a(CKB)4100000005471765
035   $a(DE-He213)978-1-4842-3525-6
035   $a(MiAaPQ)EBC5485426
035   $a(CaSebORM)9781484235256
035   $a(PPN)229919685
035   $a(OCoLC)1104211974
035   $a(OCoLC)on1104211974
035   $a(EXLCZ)994100000005471765
100   $a20180803d2018      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplied Analytics through Case Studies Using SAS and R $eImplementing Predictive Models and Machine Learning Techniques  /$fby Deepti Gupta
205   $a1st ed. 2018.
210  1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2018.
215   $a1 online resource (XX, 404 p. 99 illus.)
311 08$a9781484235249 
311 08$a148423524X 
320   $aIncludes bibliographical references.
327   $aChapter 1: Role of Analytics in Various Industries -- Chapter 2: Banking Case Study with Analytical Solutions -- Chapter 3: Retail Case Study with Analytical Solutions -- Chapter 4: Telecommunication Case Study with Analytical Solutions -- Chapter 5: Healthcare Case Study with Analytical Solutions -- Chapter 6: Airline Case Study with Analytical Solutions -- Chapter 7: FMCG Case Study with Analytical Solutions. .
330   $aExamine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited experience in implementing predictive models and machine learning techniques for analyzing real world data. The most challenging part of solving industrial business problems is the practical and hands-on knowledge of building and deploying advanced predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business problems by sharpening your analytical skills. .
606   $aBig data
606   $aOpen source software
606   $aComputer programming
606   $aMathematical statistics
606   $aBusiness mathematics
606   $aR (Computer program language)
606   $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120
606   $aOpen Source$3https://scigraph.springernature.com/ontologies/product-market-codes/I29090
606   $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036
606   $aBusiness Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/523000
615  0$aBig data.
615  0$aOpen source software.
615  0$aComputer programming.
615  0$aMathematical statistics.
615  0$aBusiness mathematics.
615  0$aR (Computer program language)
615 14$aBig Data.
615 24$aOpen Source.
615 24$aProbability and Statistics in Computer Science.
615 24$aBusiness Mathematics.
676   $a519.502855369
700   $aGupta$b Deepti$4aut$4http://id.loc.gov/vocabulary/relators/aut$01060547
801  0$bUMI
801  1$bUMI
906   $aBOOK
912   $a9910300756803321
996   $aApplied Analytics through Case Studies Using SAS and R$92514103
997   $aUNINA