LEADER 03374oam 2200529I 450 001 9910467999603321 005 20200520144314.0 010 $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(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 $tchapter 1 Data Science /$r Graham J. Williams -- $tchapter 2 Introducing R /$r Graham J. Williams -- $tchapter 3 Data Wrangling /$r Graham J. Williams -- $tchapter 4 Visualising Data /$r Graham J. Williams -- $tchapter 5 Case Study: Australian Ports /$r Graham J. Williams -- $tchapter 6 Case Study: Web Analytics /$r Graham J. Williams -- $tchapter 7 A Pattern for Predictive Modelling /$r Graham J. Williams -- $tchapter 8 Ensemble of Predictive Models /$r Graham J. Williams -- $tchapter 9 Writing Functions in R /$r Graham J. Williams -- $tchapter 10 Literate Data Science /$r Graham J. Williams -- $tchapter 11 R with Style /$r Graham 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 608 $aElectronic books. 615 0$aDatabase management. 615 0$aData Preparation & Mining. 676 $a005.7565 700 $aWilliams$b Graham J.$0309270 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910467999603321 996 $aThe Essentials of Data Science$92272277 997 $aUNINA LEADER 01437aam 2200397I 450 001 9910710766703321 005 20160421112338.0 024 8 $aGOVPUB-C13-7ae81c84bd9c009aa016ce1d0e6dbdf0 035 $a(CKB)5470000002478638 035 $a(OCoLC)947047717 035 $a(EXLCZ)995470000002478638 100 $a20160421d2005 ua 0 101 0 $aeng 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$a4th annual PKI R&D research workshop multiple paths to trust proceedings /$fClifford Neuman; Nelson E. Hastings; William T. Polk 210 1$aGaithersburg, MD :$cU.S. Dept. of Commerce, National Institute of Standards and Technology,$d2005. 215 $a1 online resource 225 1 $aNISTIR ;$v7224 300 $a2005. 300 $aContributed record: Metadata reviewed, not verified. Some fields updated by batch processes. 300 $aTitle from PDF title page. 320 $aIncludes bibliographical references. 700 $aNeuman$b Clifford$01401427 701 $aHastings$b Nelson E$01395136 701 $aNeuman$b Clifford$01401427 701 $aPolk$b William T$01383744 712 02$aNational Institute of Standards and Technology (U.S.) 801 0$bNBS 801 1$bNBS 801 2$bGPO 906 $aBOOK 912 $a9910710766703321 996 $a4th annual PKI R&D research workshop multiple paths to trust proceedings$93470188 997 $aUNINA