LEADER 00970nam0-2200277 --450 001 9910298754203321 005 20190109154658.0 010 $a978-88-8435-082-4 100 $a20190109d2018----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $aa a 001yy 200 1 $a<>Céide Fields Irlanda$ePremio Internazionale Carlo Scarpa per il giardino, 2018$eXXIX edizione$fa cura di Patrizia Boschiero e Luigi Latini con Seamas Caulfield 210 $aTreviso$cFondazione Benetton, Studi Ricerche$d2018 215 $a194 p.$cill.$d30 cm 702 1$aLatini,$bLuigi$f<1956- > 702 1$aCaulfield,$bSeamas 702 1$aBoschiero,$bPatrizia 710 12$aPremio Internazionale Carlo Scarpa per il giardino,$d29.$f<2018 ;$eTreviso>$0761362 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910298754203321 952 $aARCH C 1138$b551/2018$fFARBC 959 $aFARBC 996 $aCéide Fields Irlanda$91541449 997 $aUNINA LEADER 02194nam 2200409 450 001 9910830474803321 005 20210227102717.0 010 $a1-119-63277-3 010 $a1-119-63276-5 010 $a1-119-63275-7 035 $a(CKB)4100000010871004 035 $a(MiAaPQ)EBC6362242 035 $a(OCoLC)1204301860 035 $a(CaSebORM)9781119632726 035 $a(EXLCZ)994100000010871004 100 $a20210227d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe big R-book $efrom data science to learning machines and big data /$fPhilippe J. S. De Brouwer 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons, Inc.,$d2021. 215 $a1 online resource (931 pages) 311 $a1-119-63272-2 330 $a"This book provides an overall introduction to R with a focus on tools and methods commonly used in Data Science, with an emphasis on practice and business use.The intention is to provide a practical guide for non-experts with a focus on business users. The author covers a wide range of topics in a single book: databases, statistical machine learning, data wrangling, data visualization, and reporting such results. The book includes seven parts. Part 1 is an Introduction, Part 2 provides an overview of R and elements of statistics. Part 3 revolves around data, while Part 4 focuses on data wrangling. Next, Part 5 focuses on exploring data. Modelling is covered in Part 6, while Part 7 covers reports. Finally, Part 7 contains appendices. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science"--$cProvided by publisher. 606 $aR (Computer program language)$vHandbooks, manuals, etc 615 0$aR (Computer program language) 676 $a519.502855133 700 $aDe Brouwer$b Philippe J. S.$01628696 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830474803321 996 $aThe big R-book$93965947 997 $aUNINA