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200 10$aMatrix computations and semiseparable matrices$b[electronic resource] /$fRaf Vandebril, Marc Van Barel, Nicola Mastronardi
210   $aBaltimore $cJohns Hopkins University Press$d2008-
215   $a1 online resource (594 p.)
300   $aDescription based upon print version of record.
311   $a0-8018-8714-3 
320   $aIncludes bibliographical references and indexes.
327   $av. 1. Linear systems.
606   $aSemiseparable matrices
606   $aMatrices$xData processing
606   $aNumerical analysis
608   $aElectronic books.
615  0$aSemiseparable matrices.
615  0$aMatrices$xData processing.
615  0$aNumerical analysis.
676   $a512.9/434
700   $aVandebril$b Raf$f1978-$0899538
701   $aBarel$b Marc van$f1960-$065498
701   $aMastronardi$b Nicola$f1962-$084303
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906   $aBOOK
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996   $aMatrix computations and semiseparable matrices$92009923
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200 10$aMachine learning and artificial intelligence in marketing and sales $eessential reference for practitioners and data scientists /$fNiladri Syam, Rajeeve Kaul
210  1$aBingley, England :$cEmerald Publishing Limited,$d[2021]
210  4$dİ2021
215   $a1 online resource (225 pages) $cillustrations
311   $a1-80043-881-8 
320   $aIncludes bibliographical references and index.
330   $aMachine Learning and Artificial Intelligence in Marketing and Sales explores the ideas, and the statistical and mathematical concepts, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details of mathematical derivations and computer programming.
606   $aMarketing$xData processing
606   $aSelling$xData processing
615  0$aMarketing$xData processing.
615  0$aSelling$xData processing.
676   $a658.80028563
700   $aSyam$b Niladri$01472245
702   $aKaul$b Rajeeve
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