Sinopsis
The textbook is an expansion of Explorations in Numerical Analysis that includes new chapters covering topics from machine learning. It is intended for advanced undergraduate and early graduate students, with a focus on the connections between numerical analysis and machine learning.Topics covered include computer arithmetic, error analysis, solution of systems of linear equations by direct and iterative methods, least squares problems, eigenvalue problems, nonlinear equations, optimization, polynomial interpolation and approximation, numerical differentiation and integration, ordinary differential equations, partial differential equations, machine learning, classification, regression, and neural networks.Each problem is presented with derivations of solution techniques, analysis of their efficiency, accuracy and robustness, and detailed implementation using the Julia programming language. This book is suitable for a year-long course in numerical analysis, or for a one-semester course in numerical linear algebra (Part II) or machine learning (Part VI).
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EXPLORATIONS NUMERICAL ANALYSIS & MACHINE LEARN WITH JULIA
Publicado por
World Scientific Publishing Company, 2025
ISBN 10: 9819819482
ISBN 13: 9789819819485
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Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Sehr gut. Gebraucht - Sehr gut Leichte Lagerspuren -The textbook is an expansion of Explorations in Numerical Analysis that includes new chapters covering topics from machine learning. It is intended for advanced undergraduate and early graduate students, with a focus on the connections between numerical analysis and machine learning.Topics covered include computer arithmetic, error analysis, solution of systems of linear equations by direct and iterative methods, least squares problems, eigenvalue problems, nonlinear equations, optimization, polynomial interpolation and approximation, numerical differentiation and integration, ordinary differential equations, partial differential equations, machine learning, classification, regression, and neural networks.Each problem is presented with derivations of solution techniques, analysis of their efficiency, accuracy and robustness, and detailed implementation using the Julia programming language. This book is suitable for a year-long course in numerical analysis, or for a one-semester course in numerical linear algebra (Part II) or machine learning (Part VI). 876 pp. Englisch. Nº de ref. del artículo: INF1001479515
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Explorations In Numerical Analysis And Machine Learning With Julia
Publicado por
World Scientific Publishing, 2025
ISBN 10: 9819819482
ISBN 13: 9789819819485
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Explorations In Numerical Analysis And Machine Learning With Julia (Paperback)
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World Scientific Publishing Co Pte Ltd, Singapore, 2025
ISBN 10: 9819819482
ISBN 13: 9789819819485
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. The textbook is an expansion of Explorations in Numerical Analysis that includes new chapters covering topics from machine learning. It is intended for advanced undergraduate and early graduate students, with a focus on the connections between numerical analysis and machine learning.Topics covered include computer arithmetic, error analysis, solution of systems of linear equations by direct and iterative methods, least squares problems, eigenvalue problems, nonlinear equations, optimization, polynomial interpolation and approximation, numerical differentiation and integration, ordinary differential equations, partial differential equations, machine learning, classification, regression, and neural networks.Each problem is presented with derivations of solution techniques, analysis of their efficiency, accuracy and robustness, and detailed implementation using the Julia programming language. This book is suitable for a year-long course in numerical analysis, or for a one-semester course in numerical linear algebra (Part II) or machine learning (Part VI). Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9789819819485
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Explorations In Numerical Analysis And Machine Learning With Julia
Publicado por
World Scientific Publishing, 2025
ISBN 10: 9819819482
ISBN 13: 9789819819485
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Explorations In Numerical Analysis And Machine Learning With Julia
Publicado por
World Scientific Publishing Co Pte Ltd, SG, 2025
ISBN 10: 9819819482
ISBN 13: 9789819819485
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Paperback
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. The textbook is an expansion of Explorations in Numerical Analysis that includes new chapters covering topics from machine learning. It is intended for advanced undergraduate and early graduate students, with a focus on the connections between numerical analysis and machine learning.Topics covered include computer arithmetic, error analysis, solution of systems of linear equations by direct and iterative methods, least squares problems, eigenvalue problems, nonlinear equations, optimization, polynomial interpolation and approximation, numerical differentiation and integration, ordinary differential equations, partial differential equations, machine learning, classification, regression, and neural networks.Each problem is presented with derivations of solution techniques, analysis of their efficiency, accuracy and robustness, and detailed implementation using the Julia programming language. This book is suitable for a year-long course in numerical analysis, or for a one-semester course in numerical linear algebra (Part II) or machine learning (Part VI). Nº de ref. del artículo: LU-9789819819485
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Explorations in Numerical Analysis and Machine Learning with Julia
Publicado por
World Scientific Publishing, 2025
ISBN 10: 9819819482
ISBN 13: 9789819819485
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paperback
Librería: Russell Books, Victoria, BC, Canada
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paperback. Condición: New. Special order direct from the distributor. Nº de ref. del artículo: ING9789819819485
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Explorations In Numerical Analysis And Machine Learning With Julia
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World Scientific Publishing, 2025
ISBN 10: 9819819482
ISBN 13: 9789819819485
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Explorations In Numerical Analysis And Machine Learning With Julia
Publicado por
World Scientific Publishing, 2025
ISBN 10: 9819819482
ISBN 13: 9789819819485
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Explorations In Numerical Analysis And Machine Learning With Julia
Publicado por
World Scientific Publishing Co Pte Ltd, 2025
ISBN 10: 9819819482
ISBN 13: 9789819819485
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Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. 876 pages. 6.69x0.73x9.61 inches. In Stock. Nº de ref. del artículo: x-9819819482
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Explorations In Numerical Analysis And Machine Learning With Julia
Publicado por
World Scientific Publishing Co Pte Ltd, SG, 2025
ISBN 10: 9819819482
ISBN 13: 9789819819485
Nuevo
Paperback
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. The textbook is an expansion of Explorations in Numerical Analysis that includes new chapters covering topics from machine learning. It is intended for advanced undergraduate and early graduate students, with a focus on the connections between numerical analysis and machine learning.Topics covered include computer arithmetic, error analysis, solution of systems of linear equations by direct and iterative methods, least squares problems, eigenvalue problems, nonlinear equations, optimization, polynomial interpolation and approximation, numerical differentiation and integration, ordinary differential equations, partial differential equations, machine learning, classification, regression, and neural networks.Each problem is presented with derivations of solution techniques, analysis of their efficiency, accuracy and robustness, and detailed implementation using the Julia programming language. This book is suitable for a year-long course in numerical analysis, or for a one-semester course in numerical linear algebra (Part II) or machine learning (Part VI). Nº de ref. del artículo: LU-9789819819485
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