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"This updated compendium provides the linear algebra background necessary to understand and develop linear algebra applications in data mining and machine learning. Basic knowledge and advanced new topics (spectral theory, singular values, decomposition techniques for matrices, tensors and multidimensional arrays) are presented together with several applications of linear algebra (k-means clustering, biplots, least square approximations, dimensionality reduction techniques, tensors and multidimensional arrays). The useful reference text includes more than 600 exercises and supplements, many with completed solutions and MATLAB applications. The volume benefits professionals, academics, researchers and graduate students in the fields of pattern recognition/image analysis, AI, machine learning and databases. Readership: Researchers, professionals, academics and graduate students in pattern recognition/image analysis, AI, machine learning and databases"--
Titolo: Linear Algebra Tools For Data Mining
Casa editrice: World Scientific Publishing Company
Data di pubblicazione: 2023
Legatura: HRD
Condizione: New
Edizione: seconda edizione
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 46109672-n
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Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9789811270338
Quantità: Più di 20 disponibili
Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextThis updated compendium provides the linear algebra background necessary to understand and develop linear algebra applications in data mining and machine learning.Basic knowledge and advanced new topics (spectral theory, si. Codice articolo 894907992
Quantità: Più di 20 disponibili
Da: preigu, Osnabrück, Germania
Buch. Condizione: Neu. LINEAR ALGEBRA TOOL DATA (2ND ED) | Simovici Dan A | Buch | Gebunden | Englisch | 2023 | World Scientific | EAN 9789811270338 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 126142651
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Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9789811270338_new
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 46109672-n
Quantità: Più di 20 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 46109672
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 46109672
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Da: Rarewaves.com UK, London, Regno Unito
Hardback. Condizione: New. Second Edition. This updated compendium provides the linear algebra background necessary to understand and develop linear algebra applications in data mining and machine learning.Basic knowledge and advanced new topics (spectral theory, singular values, decomposition techniques for matrices, tensors and multidimensional arrays) are presented together with several applications of linear algebra (k-means clustering, biplots, least square approximations, dimensionality reduction techniques, tensors and multidimensional arrays).The useful reference text includes more than 600 exercises and supplements, many with completed solutions and MATLAB applications.The volume benefits professionals, academics, researchers and graduate students in the fields of pattern recognition/image analysis, AI, machine learning and databases. Codice articolo LU-9789811270338
Quantità: 11 disponibili
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Hardback. Condizione: New. Second Edition. This updated compendium provides the linear algebra background necessary to understand and develop linear algebra applications in data mining and machine learning.Basic knowledge and advanced new topics (spectral theory, singular values, decomposition techniques for matrices, tensors and multidimensional arrays) are presented together with several applications of linear algebra (k-means clustering, biplots, least square approximations, dimensionality reduction techniques, tensors and multidimensional arrays).The useful reference text includes more than 600 exercises and supplements, many with completed solutions and MATLAB applications.The volume benefits professionals, academics, researchers and graduate students in the fields of pattern recognition/image analysis, AI, machine learning and databases. Codice articolo LU-9789811270338
Quantità: 11 disponibili