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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.
Title: Linear Algebra Tools for Data Mining (Second...
Publisher: World Scientific Publishing Company
Publication Date: 2023
Binding: HRD
Condition: New
Edition: 2nd Edition
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 46109672-n
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Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9789811270338
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9789811270338_new
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 46109672
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Seller: moluna, Greven, Germany
Condition: 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. Seller Inventory # 894907992
Quantity: Over 20 available
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 2nd edition. 985 pages. 9.00x6.25x2.25 inches. In Stock. Seller Inventory # x-9811270333
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9789811270338
Quantity: 1 available