Sparse Estimation Math Python by Suzuki Joe (18 results)
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Taschenbuch. Condition: Neu. Sparse Estimation with Math and Python | 100 Exercises for Building Logic | Joe Suzuki | Taschenbuch | x | Englisch | 2021 | Springer | EAN 9789811614378 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter…: preigu.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 256 pp. Englisch.
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Equips readers with the logic required for machine learning and data scienceProvides in-depth understanding of source programsWritten in an easy-to-follow and self-contained styleEquips reader…s with the logic required for machin.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of sparse estimation by considering math problems… and building Python programs.Each chapter introduces the notion of sparsity and provides procedures followed by mathematical derivations and source programs with examples of execution. To maximize readers' insights into sparsity, mathematical proofs are presented for almost all propositions, and programs are described without depending on any packages. The book is carefully organized to provide the solutions to the exercises in each chapter so that readers can solve the total of 100 exercises by simply following the contents of each chapter.This textbook is suitable for an undergraduate or graduate course consisting of about 15 lectures (90 mins each). Written in an easy-to-follow and self-contained style, this book will also be perfect material for independent learning by data scientists, machine learning engineers, and researchers interested in linear regression, generalized linear lasso, group lasso, fused lasso, graphical models, matrix decomposition, and multivariate analysis.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 256 pp. Englisch.
