LEADER 01150cam0-22003611i-450- 001 990000200580403321 005 20060620130501.0 035 $a000020058 035 $aFED01000020058 035 $a(Aleph)000020058FED01 035 $a000020058 100 $a20020821g18869999km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $a<>codici Palatini$fdescritti dal professor Luigi Gentile 210 $aRoma$cpresso i principali librai$d1886- 215 $av.$d23 cm 225 1 $aIndici e cataloghi$fMinistero della pubblica istruzione$iVecchia Serie$v4 307 $a1.: LVI, 736 p., 23 cm 307 $a2.: 480 p. : ill. ; 23 cm 517 1 $a<>manoscritti palatini della Biblioteca nazionale centrale di Firenze 610 0 $aCataloghi bibliografici$a1889 676 $a011 702 1$aGentile,$bLuigi 710 02$aBiblioteca nazionale centrale di Firenze$0285420 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000200580403321 952 $a13 U 12 04$b416$fFINBC 952 $a13 U 12 05$b417$fFINBC 959 $aFINBC 996 $aCodici Palatini$9122229 997 $aUNINA LEADER 04679nam 22006375 450 001 9910299987403321 005 20220623163610.0 010 $a1-4939-1702-1 024 7 $a10.1007/978-1-4939-1702-0 035 $a(CKB)3710000000280944 035 $a(EBL)1965008 035 $a(OCoLC)908083039 035 $a(SSID)ssj0001386732 035 $a(PQKBManifestationID)11884109 035 $a(PQKBTitleCode)TC0001386732 035 $a(PQKBWorkID)11374435 035 $a(PQKB)11086383 035 $a(MiAaPQ)EBC1965008 035 $a(DE-He213)978-1-4939-1702-0 035 $a(PPN)183088018 035 $a(EXLCZ)993710000000280944 100 $a20141114d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aR for Cloud Computing $eAn Approach for Data Scientists /$fby A Ohri 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (281 p.) 300 $aDescription based upon print version of record. 311 $a1-4939-1701-3 320 $aIncludes bibliographical references. 327 $aIntroduction -- An Approach for Data Scientists -- Navigating the Choices in R and Cloud Computing -- Setting up R on the Cloud -- Using R -- Using R with Data and Bigger Data -- R with Cloud APIs -- Securing your R Cloud -- Training Literature for Cloud Computing and R. 330 $aR for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era)  and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud.  With this information the reader can select both cloud vendors  and the sometimes confusing cloud ecosystem as well  as the R packages that can help process the analytical tasks with minimum effort and cost, and maximum usefulness and customization. The use of Graphical User Interfaces (GUI)  and Step by Step screenshot tutorials is emphasized in this book to lessen the famous learning curve in learning R and some of the needless confusion created in cloud computing that hinders its widespread adoption. This will help you kick-start analytics on the cloud including chapters on cloud computing, R, common tasks performed in analytics, scrutiny of big data analytics, and setting up and navigating cloud providers. Readers are exposed to a breadth of cloud computing choices and analytics topics without being buried in needless depth. The included references and links allow the reader to pursue business analytics on the cloud easily.  It is aimed at practical analytics and is easy to transition from existing analytical set up to the cloud on an open source system based primarily on R. This book is aimed at industry practitioners with basic programming skills and students who want to enter analytics as a profession.  Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. It will also help researchers and academics but at a practical rather than conceptual level. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. 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The 20 full papers presented with 7 short papers were carefully reviewed and selected from 31 submissions. The focus of the papers is on following topics: ambient assisted living for tele-care and tele-rehabilitation; ambient assisted living environments; behaviour analysis and activity recognition; sensing for health and wellbeing; human interaction and perspectives in ambient assisted living solutions. 410 0$aInformation Systems and Applications, incl. 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