LEADER 00728nam0-22002531i-450- 001 990001132090403321 035 $a000113209 035 $aFED01000113209 035 $a(Aleph)000113209FED01 035 $a000113209 100 $a20000920d1979----km-y0itay50------ba 101 0 $aeng 200 1 $aM-Structure and the Banach-Stone Theorem$fby Behrends. 210 $aBerlin [etc.]$cSpringer-Verlag$d1979 225 1 $aLecture Notes in Mathematics$v736 700 1$aBehrends,$bEhrhard$042695 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001132090403321 952 $aC-20-(736$b19868$fMA1 959 $aMA1 996 $aM-structure and the Banach-Stone theorem$981117 997 $aUNINA DB $aING01 LEADER 01736nam 2200553Ia 450 001 9910783785003321 005 20230617000127.0 010 $a1-281-82475-5 010 $a9786611824754 010 $a1-4175-5496-7 035 $a(CKB)1000000000246575 035 $a(OCoLC)56946310 035 $a(CaPaEBR)ebrary10096065 035 $a(SSID)ssj0000263428 035 $a(PQKBManifestationID)11225347 035 $a(PQKBTitleCode)TC0000263428 035 $a(PQKBWorkID)10272793 035 $a(PQKB)10332711 035 $a(MiAaPQ)EBC3035147 035 $a(Au-PeEL)EBL3035147 035 $a(CaPaEBR)ebr10096065 035 $a(CaONFJC)MIL182475 035 $a(EXLCZ)991000000000246575 100 $a20031112d2004 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aU.S.A. immigration guide$b[electronic resource] /$fRamon Carrion 205 $a5th ed. 210 $aNaperville, Ill. $cSphinx Pub.$d2004 215 $a1 online resource (266 p.) 300 $aIncludes index. 311 $a1-57248-392-X 327 $aOverview of the visa system -- Permanent immigrant visas -- Temporary nonimmigrant visas -- Maintaining visa status -- Taxes, professional services and pre-entry planning. 606 $aEmigration and immigration law$zUnited States$vPopular works 606 $aVisas$zUnited States$vPopular works 615 0$aEmigration and immigration law 615 0$aVisas 676 $a342.7308/2 700 $aCarrion$b Ramon$01479179 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910783785003321 996 $aU.S.A. immigration guide$93695175 997 $aUNINA LEADER 03441oam 2200553I 450 001 9910955462403321 005 20230809234044.0 010 $a1-315-15145-6 010 $a1-351-64749-0 010 $a1-4987-4001-4 024 7 $a10.1201/9781315151458 035 $a(CKB)4340000000192917 035 $a(MiAaPQ)EBC4929754 035 $a(Au-PeEL)EBL4929754 035 $a(CaPaEBR)ebr11418412 035 $a(OCoLC)999643978 035 $a(OCoLC)993964913 035 $a(FINmELB)ELB141854 035 $a(EXLCZ)994340000000192917 100 $a20180706d2017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 14$aThe Essentials of Data Science $eKnowledge Discovery Using R /$fGraham J. Williams 205 $aFirst edition. 210 1$aBoca Raton, FL :$cCRC Press,$d2017. 215 $a1 online resource (343 pages) 225 1 $aChapman & Hall/CRC The R Series 311 $a1-4987-4000-6 320 $aIncludes bibliographical references and index. 327 $tchapter 1 Data Science /$rGraham J. Williams --$tchapter 2 Introducing R /$rGraham J. Williams --$tchapter 3 Data Wrangling /$rGraham J. Williams --$tchapter 4 Visualising Data /$rGraham J. Williams --$tchapter 5 Case Study: Australian Ports /$rGraham J. Williams --$tchapter 6 Case Study: Web Analytics /$rGraham J. Williams --$tchapter 7 A Pattern for Predictive Modelling /$rGraham J. Williams --$tchapter 8 Ensemble of Predictive Models /$rGraham J. Williams --$tchapter 9 Writing Functions in R /$rGraham J. Williams --$tchapter 10 Literate Data Science /$rGraham J. Williams --$tchapter 11 R with Style /$rGraham J. Williams. 330 $a"The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data.Building on over thirty years' experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable templates. Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. The book begins by introducing data science. It then reviews R's capabilities for analysing data by writing computer programs. These programs are developed and explained step by step. From analysing and visualising data, the framework moves on to tried and tested machine learning techniques for predictive modelling and knowledge discovery. Literate programming and a consistent style are a focus throughout the book."--Provided by publisher. 410 0$aChapman & Hall/CRC the R series (CRC Press) 606 $aDatabase management 606 $aData Preparation & Mining 606 $aR (Computer program language) 615 0$aDatabase management. 615 0$aData Preparation & Mining. 615 0$aR (Computer program language) 676 $a005.7565 700 $aWilliams$b Graham J.$0309270 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910955462403321 996 $aThe Essentials of Data Science$94450981 997 $aUNINA