LEADER 01299nam--2200397---450- 001 990002822370203316 005 20061006104821.0 010 $a88-430-3717-X 035 $a000282237 035 $aUSA01000282237 035 $a(ALEPH)000282237USA01 035 $a000282237 100 $a20061004d2006----km-y0itay50------ba 101 $aita 102 $aIT 105 $a||||||||001yy 200 1 $a<> discorso è nave, il significato un mare$esaggi sull'amore e il viaggio nella poesia persiana medievale$fJohann Christoph Bürgel$ga cura di Carlo Saccone 210 $aRoma$cCarocci$d2006 215 $a307 p.$d22 cm 225 2 $aBiblioteca medievale 410 0$12001$aBiblioteca medievale$iSaggi$v21 454 1$12001$aBiblioteca medievale$iSaggi$v21$916067 606 0 $aLetteratura iranica 676 $a891.5 700 1$aBÜRGEL,$bJohann Christoph$0171421 702 1$aSACCONE,$bCarlo 801 0$aIT$bsalbc$gISBD 912 $a990002822370203316 951 $aVIII.2.B. 16(II ls 134)$b188197 L.M.$cVIII.2.B.$d00208507 959 $aBK 969 $aUMA 979 $aALESSANDRA$b90$c20061004$lUSA01$h1144 979 $aALESSANDRA$b90$c20061006$lUSA01$h1048 979 $aPATRY$b90$c20071018$lUSA01$h0946 996 $aBiblioteca medievale$916067 997 $aUNISA LEADER 02341nam0 22005533i 450 001 VAN00249280 005 20240806101418.410 017 70$2N$a9783030568313 100 $a20220829d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aFundamentals of Data Analytics$eWith a View to Machine Learning$fRudolf Mathar ... [et al.] 210 $aCham$cSpringer$d2020 215 $axi, 127 p.$cill.$d24 cm 500 1$3VAN00249281$aFundamentals of Data Analytics$92905435 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62H25$xFactor analysis and principal components; correspondence analysis [MSC 2020]$3VANC025575$2MF 606 $a62R07$xStatistical aspects of big data and data science [MSC 2020]$3VANC026514$2MF 606 $a68T05$xLearning and adaptive systems in artificial intelligence [MSC 2020]$3VANC023390$2MF 610 $aArtificial Intelligence$9KW:K 610 $aClassification$9KW:K 610 $aClustering$9KW:K 610 $aData science$9KW:K 610 $aDiffusion maps$9KW:K 610 $aDimensionality reduction$9KW:K 610 $aIsomap$9KW:K 610 $aKernel methods$9KW:K 610 $aMachine learning$9KW:K 610 $aMapReduce$9KW:K 610 $aMarkov decision processes$9KW:K 610 $aMatrix optimization and approximation$9KW:K 610 $aMultidimensional Scaling$9KW:K 610 $aPrincipal component analysis$9KW:K 610 $aSpectral clustering$9KW:K 610 $aSupervised machine learning$9KW:K 610 $aSupport Vector Machines$9KW:K 610 $aUnsupervised machine learning$9KW:K 620 $aCH$dCham$3VANL001889 702 1$aMathar$bRudolf$3VANV203935 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250606$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-56831-3$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00249280 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 4669 $e08eMF4669 20220829 996 $aFundamentals of Data Analytics$92905435 997 $aUNICAMPANIA