LEADER 01274nam0 22003133i 450 001 VAN0253378 005 20230119091438.4 010 $a88-389-4311-7 010 $a978-88-389-4311-9 100 $a20230119d2022 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aˆLa ‰sconfitta della ragione$eLeonardo Sciascia e la giustizia penale$fEnnio Amodio, Elena Maria Catalano$gprefazione di Gianni Puglisi 210 $aPalermo$cSellerio$d2022 215 $a220 p.$d21 cm 410 1$1001VAN0099999$12001 $aˆLe ‰parole e le cose$1210 $aPalermo$cSellerio.$v36 620 $dPalermo$3VANL000013 700 1$aAmodio$bEnnio$3VANV000284$0224893 701 1$aCatalano$bElena M.$3VANV077634$0722137 702 1$aPuglisi$bGianni$3VANV078423$4080 712 $aSellerio $3VANV107919$4650 790 1$aCatalano, Elena Maria$zCatalano, Elena M.$3VANV077670 801 $aIT$bSOL$c20240223$gRICA 899 $aBIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$1IT-CE0105$2VAN00 912 $aVAN0253378 950 $aBIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA$d00CONS XVII.Ea.100 $e00UBG8157 20230119 996 $aSconfitta della ragione$93001927 997 $aUNICAMPANIA LEADER 03267nam 22006255 450 001 9910522554503321 005 20250408063824.0 010 $a3-030-10531-8 024 7 $a10.1007/978-3-030-10531-0 035 $a(MiAaPQ)EBC6881911 035 $a(Au-PeEL)EBL6881911 035 $a(CKB)21069160300041 035 $a(DE-He213)978-3-030-10531-0 035 $a(PPN)260826200 035 $a(EXLCZ)9921069160300041 100 $a20220202d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistics for Data Scientists $eAn Introduction to Probability, Statistics, and Data Analysis /$fby Maurits Kaptein, Edwin van den Heuvel 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (341 pages) 225 1 $aUndergraduate Topics in Computer Science,$x2197-1781 311 08$aPrint version: Kaptein, Maurits Statistics for Data Scientists Cham : Springer International Publishing AG,c2022 9783030105303 327 $a1 A First Look at Data -- 2 Sampling Plans and Estimates -- 3 Probability Theory -- 4 Random Variables and Distributions -- 5 Estimation -- 6 Multiple Random Variables -- 7 Making Decisions in Uncertainty -- 8 Bayesian Statistics. 330 $aThis book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis ? supported by numerous real data examples and reusable [R] code ? with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science. 410 0$aUndergraduate Topics in Computer Science,$x2197-1781 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aStatistics 606 $aProbabilities 606 $aProbability and Statistics in Computer Science 606 $aStatistical Theory and Methods 606 $aProbability Theory 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 0$aStatistics. 615 0$aProbabilities. 615 14$aProbability and Statistics in Computer Science. 615 24$aStatistical Theory and Methods. 615 24$aProbability Theory. 676 $a519.50285 676 $a519.50285 700 $aKaptein$b Maurits$01082043 702 $aHeuvel$b Edwin van den 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910522554503321 996 $aStatistics for Data Scientists$92596985 997 $aUNINA