LEADER 01291nam0 2200313 450 001 000037207 005 20141110154952.0 100 $a20140702d--------km-y0itaa50------ba 101 0 $adut 102 $aDU 200 1 $aAvonturen en ontmoetingen van den kleinen Hans$eeen prentenboek met muziek en gezang voor kinderen$fitaliaansche tekst en muziek van Salvatore C. Marchesi$gvertaling van J. J. A. Goeverneur 210 $aLeiden$c<> Sijthoff$d[s.d.] 215 $a1 partitura (40 p.)$cill.$d29 cm. 300 $aContiene spartiti e i testi dei canti 606 1 $aLetteratura infantile 606 2 $aCanti per ragazzi 676 $a782.42$v(22. ed.)$9Musica vocale. Forme profane. Canzoni 700 1$aMarchesi,$bSalvatore C.$055852 702 1$aGoeverneur,$bJ. J. A. 801 0$aIT$bUniversità della Basilicata - B.I.A.$gREICAT$2unimarc 912 $a000037207 996 $aAvonturen en ontmoetingen van den kleinen Hans$9102375 997 $aUNIBAS CAT $aSTD100$b01$c20140702$lBAS01$h1342 CAT $aTTM$b30$c20141110$lBAS01$h1549 CAT $aBATCH$b00$c20180801$lBAS01$h1239 FMT Z30 -1$lBAS01$LBAS01$mBOOK$1BASA1$APolo Storico-Umanistico$2FROS$BFondo Rostirolla$3FRost/3555$63555$5D3555$820140702$f98$FConsultazione all $aall $n0009227 LEADER 04355nam 22006975 450 001 9910254816703321 005 20230810191401.0 010 $a3-319-55444-1 024 7 $a10.1007/978-3-319-55444-0 035 $a(CKB)4340000000062222 035 $a(DE-He213)978-3-319-55444-0 035 $a(MiAaPQ)EBC6312797 035 $a(MiAaPQ)EBC5577074 035 $a(Au-PeEL)EBL5577074 035 $a(OCoLC)992989152 035 $a(PPN)203669193 035 $a(EXLCZ)994340000000062222 100 $a20170701d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Data Science Design Manual /$fby Steven S. Skiena 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XVII, 445 p. 180 illus., 137 illus. in color.) 225 1 $aTexts in Computer Science,$x1868-095X 311 $a3-319-55443-3 327 $aWhat is Data Science? -- Mathematical Preliminaries -- Data Munging -- Scores and Rankings -- Statistical Analysis -- Visualizing Data -- Mathematical Models -- Linear Algebra -- Linear and Logistic Regression -- Distance and Network Methods -- Machine Learning -- Big Data: Achieving Scale. 330 $aThis engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an ?Introduction to Data Science? course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains ?War Stories,? offering perspectives on how data science applies in the real world Includes ?Homework Problems,? providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides ?Take-Home Lessons,? emphasizing the big-picture concepts to learn from each chapter Recommends exciting ?Kaggle Challenges? from the online platform Kaggle Highlights ?False Starts,? revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show ?The Quant Shop? (www.quant-shop.com). 410 0$aTexts in Computer Science,$x1868-095X 606 $aData mining 606 $aPattern recognition systems 606 $aQuantitative research 606 $aInformation visualization 606 $aMathematical statistics$xData processing 606 $aData Mining and Knowledge Discovery 606 $aAutomated Pattern Recognition 606 $aData Analysis and Big Data 606 $aData and Information Visualization 606 $aStatistics and Computing 615 0$aData mining. 615 0$aPattern recognition systems. 615 0$aQuantitative research. 615 0$aInformation visualization. 615 0$aMathematical statistics$xData processing. 615 14$aData Mining and Knowledge Discovery. 615 24$aAutomated Pattern Recognition. 615 24$aData Analysis and Big Data. 615 24$aData and Information Visualization. 615 24$aStatistics and Computing. 676 $a519.50285 700 $aSkiena$b Steven S$4aut$4http://id.loc.gov/vocabulary/relators/aut$0286246 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254816703321 996 $aThe Data Science Design Manual$92543300 997 $aUNINA