01404nam0 22003131i 450 UON0032558820231205104158.72502-991284-4-X20090706d1991 |0itac50 baengUS|||| 1||||American fiction in the cold warThomas Hill SchaubMadisonLondonThe University of Wisconsin Press1991ix, 214 p.23 cm001UON001719872001 History of American Thought and Culture210 MadisonUniversity of Wisconsin PressLETTERATURA NARRATIVA AMERICANASec. 20.StudiUONC067190FIGUERRA FREDDAInfluenza sulla letteratura americanaUONC097055FIUSMadison (Wisconsin)UONL000175GBLondonUONL003044813.509Narrativa americana in inglese, 1900-1999. Storia, descrizione, studi critici21SCHAUBThomas HillUONV185541699943The University of Wisconsin PressUONV246278650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00325588SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI NordA V C 068 SI LO 54426 5 068 American fiction in the cold war1370351UNIOR03679nam 22006975 450 991030075680332120220629155011.09781484235256148423525810.1007/978-1-4842-3525-6(CKB)4100000005471765(DE-He213)978-1-4842-3525-6(MiAaPQ)EBC5485426(CaSebORM)9781484235256(PPN)229919685(OCoLC)1104211974(OCoLC)on1104211974(EXLCZ)99410000000547176520180803d2018 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierApplied Analytics through Case Studies Using SAS and R Implementing Predictive Models and Machine Learning Techniques /by Deepti Gupta1st ed. 2018.Berkeley, CA :Apress :Imprint: Apress,2018.1 online resource (XX, 404 p. 99 illus.)9781484235249 148423524X Includes bibliographical references.Chapter 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. .Examine 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. .Big dataOpen source softwareComputer programmingMathematical statisticsBusiness mathematicsR (Computer program language)Big Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Open Sourcehttps://scigraph.springernature.com/ontologies/product-market-codes/I29090Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Business Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/523000Big data.Open source software.Computer programming.Mathematical statistics.Business mathematics.R (Computer program language)Big Data.Open Source.Probability and Statistics in Computer Science.Business Mathematics.519.502855369Gupta Deeptiauthttp://id.loc.gov/vocabulary/relators/aut1060547UMIUMIBOOK9910300756803321Applied Analytics through Case Studies Using SAS and R2514103UNINA