LEADER 03544nam2-2200469---450 001 990005583310203316 005 20200512185012.0 035 $a000558331 035 $aUSA01000558331 035 $a(ALEPH)000558331USA01 035 $a000558331 100 $a19981214d1989----|||y0itaa50------ba 101 $ager 102 $ade 105 $a0 00||| 200 1 $a<> Enzyklopädie der philosophischen Wissenschaften im Grundrisse$e(1827)$fGeorg Wilhelm Friedrich Hegel$gHrsg. von Wolfgang Bonsiepen und Hans-Christian Lucas 210 $aHamburg$cMeiner$d1989 215 $aX, 552 p.$d28 cm 451 $1001000558330$1101$aita$1102$ait$12001$aEnciclopedia delle scienze filosofiche in compendio$e(Heidelberg 1817)$fG. W.F. Hegel$1205$aTrento : Verifiche$b1987$1210$a279 p.$a21 cm$1215$aTrad. di: Encyclopädie der philosophischen Wissenschaften im Grundrisse 451 $1001000561209$1101$aita$1102$ait$12001$aEnciclopedia delle scienze filosofiche in compendio$fG. G. F. 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Hegel$g[trad. di Benedetto Croce$gcon una Introduzione di Claudio Cesa]$1205$a3. ed$1210$aBari$cLaterza$d1994$1215$aLXXII, 657 p.$d21 cm 451 $1001000558333$1101$ager$1102$ade$12001$a<> Enzyklopädie der philosophischen Wissenschaften im Grundrisse$e(1830). 1. Teil, Die Wissenschaft der Logik$amit den mundlichen Zusatzen$fGeorg Wilhelm Friedrich Hegel$1210$aStuttgart$cSuhrkamp$dcopyr. 1970$1215$a392 p.$d18 cm. 451 $1001000563986$1101$ager$1102$ade$12001$a<> Enzyklopädie der philosophischen Wissenschaften im Grundrisse$e(1830). 2. Teil, Die Naturphilosophie$amit den mundlichen Zusatzen$fGeorg Wilhelm Friedrich Hegel$1210$aStuttgart$cSuhrkamp$dcopyr. 1970$1215$a538 p.$d18 cm. 451 $1001000565215$1101$aita$1102$ait$12001$aEnciclopedia delle scienze filosofiche in compendio$fGeorg Wilhelm Friedrich Hegel$g[trad. di Benedetto Croce$gcon una Introduzione di Claudio Cesa$gcon un glossario e un indice dei nomi citati a cura di Nicolao Merker]$1205$a2. ed$1210$aBari$cLaterza$d1971$1215$a2 v. (XXXI, 600 p. compless.)$d19 cm 461 0$1001000558332$12001$aGesammelte Werke$v19 620 $dHAMBURG 676 $a193 700 1$aHEGEL,$bGeorg Wilhelm Friedrich$0289533 702 1$aBONSIEPEN,$bWolfgang 702 1$aLUCAS,$bHans-Christian 801 0$aIT$bSA$c20111219 912 $a990005583310203316 950 0$aDipar.to di Filosofia - Salerno$dDFAA 193 HEG$e3858 FIL 951 $aAA 193 HEG$b3858 FIL 959 $aBK 969 $aFIL 979 $c20121027$lUSA01$h1525 979 $c20121027$lUSA01$h1614 996 $aEnzyklopädie der philosophischen Wissenschaften im Grundrisse$9157826 997 $aUNISA LEADER 05089nam 22006495 450 001 9910299288703321 005 20221025134414.0 010 $a9783319644103 010 $a3-319-64410-6 024 7 $a10.1007/978-3-319-64410-3 035 $a(CKB)4100000001381887 035 $a(DE-He213)978-3-319-64410-3 035 $a(MiAaPQ)EBC6314295 035 $a(MiAaPQ)EBC5589145 035 $a(Au-PeEL)EBL5589145 035 $a(OCoLC)1066188031 035 $a(PPN)222230126 035 $a(EXLCZ)994100000001381887 100 $a20171214d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProbability and statistics for computer science /$fby David Forsyth 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XXIV, 367 p. 124 illus., 84 illus. in color.) 311 1 $a9783319644097 311 1 $a3-319-64409-2 327 $a1 Notation and conventions -- 2 First Tools for Looking at Data -- 3 Looking at Relationships -- 4 Basic ideas in probability -- 5 Random Variables and Expectations -- 6 Useful Probability Distributions -- 7 Samples and Populations -- 8 The Significance of Evidence -- 9 Experiments -- 10 Inferring Probability Models from Data -- 11 Extracting Important Relationships in High Dimensions -- 12 Learning to Classify -- 13 Clustering: Models of High Dimensional Data -- 14 Regression -- 15 Markov Chains and Hidden Markov Models -- 16 Resources. 330 $aThis textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science features: ?   A treatment of random variables and expectations dealing primarily with the discrete case. ?   A practical treatment of simulation, showing how many interesting probabilities and expectations can be extracted, with particular emphasis on Markov chains. ?   A clear but crisp account of simple point inference strategies (maximum likelihood; Bayesian inference) in simple contexts. This is extended to cover some confidence intervals, samples and populations for random sampling with replacement, and the simplest hypothesis testing. ?   A chapter dealing with classification, explaining why it?s useful; how to train SVM classifiers with stochastic gradient descent; and how to use implementations of more advanced methods such as random forests and nearest neighbors. ?   A chapter dealing with regression, explaining how to set up, use and understand linear regression and nearest neighbors regression in practical problems. ?   A chapter dealing with principal components analysis, developing intuition carefully, and including numerous practical examples. There is a brief description of multivariate scaling via principal coordinate analysis. ?   A chapter dealing with clustering via agglomerative methods and k-means, showing how to build vector quantized features for complex signals. Illustrated throughout, each main chapter includes many worked examples and other pedagogical elements such as boxed Procedures, Definitions, Useful Facts, and Remember This (short tips). Problems and Programming Exercises are at the end of each chapter, with a summary of what the reader should know.   Instructor resources include a full set of model solutions for all problems, and an Instructor's Manual with accompanying presentation slides. 606 $aEstadística matemàtica$xInformàtica$2lemac 606 $aSimulació per ordinador$2lemac 606 $aMathematical statistics 606 $aComputer simulation 606 $aStatistics 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 615 7$aEstadística matemàtica$xInformàtica 615 7$aSimulació per ordinador 615 0$aMathematical statistics. 615 0$aComputer simulation. 615 0$aStatistics. 615 14$aProbability and Statistics in Computer Science. 615 24$aSimulation and Modeling. 615 24$aStatistics and Computing/Statistics Programs. 676 $a004.015114 700 $aForsyth$b David$4aut$4http://id.loc.gov/vocabulary/relators/aut$0937470 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299288703321 996 $aProbability and Statistics for Computer Science$92111566 997 $aUNINA