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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Fine.
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good.
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
Condition: As New. Unread book in perfect condition.
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
Condition: New.
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
Condition: New.
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 70.44
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 74.83
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press 2024-04-30, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
US$ 71.43
Convert currencyUS$ 20.79 shipping from United Kingdom to U.S.A.Quantity: 2 available
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
US$ 77.18
Convert currencyUS$ 16.78 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Brand New. 450 pages. 6.69x1.00x9.61 inches. In Stock.
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press CUP, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
Condition: New. pp. 450.
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, GB, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
Hardback. Condition: New. Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex optimization. Highlighted applications include low-rank approximation, matrix completion, subspace learning, logistic regression for binary classification, robust PCA, dimensionality reduction and Procrustes problems. Extensively classroom-tested, the book includes over 200 multiple-choice questions suitable for in-class interactive learning or quizzes, as well as homework exercises (with solutions available for instructors). It encourages active learning with engaging 'explore' questions, with answers at the back of each chapter, and Julia code examples to demonstrate how the mathematics is actually used in practice. A suite of computational notebooks offers a hands-on learning experience for students. This is a perfect textbook for upper-level undergraduates and first-year graduate students who have taken a prior course in linear algebra basics.
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 80.68
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
US$ 90.67
Convert currencyUS$ 8.72 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: New. pp. 450.
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
US$ 101.28
Convert currencyUS$ 11.59 shipping from Germany to U.S.A.Quantity: 1 available
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
US$ 107.94
Convert currencyUS$ 16.78 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 450 pages. 6.69x1.00x9.61 inches. In Stock.
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, GB, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 133.56
Convert currencyFree shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex optimization. Highlighted applications include low-rank approximation, matrix completion, subspace learning, logistic regression for binary classification, robust PCA, dimensionality reduction and Procrustes problems. Extensively classroom-tested, the book includes over 200 multiple-choice questions suitable for in-class interactive learning or quizzes, as well as homework exercises (with solutions available for instructors). It encourages active learning with engaging 'explore' questions, with answers at the back of each chapter, and Julia code examples to demonstrate how the mathematics is actually used in practice. A suite of computational notebooks offers a hands-on learning experience for students. This is a perfect textbook for upper-level undergraduates and first-year graduate students who have taken a prior course in linear algebra basics.
-
Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, GB, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
US$ 103.35
Convert currencyUS$ 50.00 shipping within U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex optimization. Highlighted applications include low-rank approximation, matrix completion, subspace learning, logistic regression for binary classification, robust PCA, dimensionality reduction and Procrustes problems. Extensively classroom-tested, the book includes over 200 multiple-choice questions suitable for in-class interactive learning or quizzes, as well as homework exercises (with solutions available for instructors). It encourages active learning with engaging 'explore' questions, with answers at the back of each chapter, and Julia code examples to demonstrate how the mathematics is actually used in practice. A suite of computational notebooks offers a hands-on learning experience for students. This is a perfect textbook for upper-level undergraduates and first-year graduate students who have taken a prior course in linear algebra basics.
-
Linear Algebra for Data Science, Machine Learning, and Signal Processing
Published by Cambridge University Press, GB, 2024
ISBN 10: 1009418149 ISBN 13: 9781009418140
Language: English
US$ 129.42
Convert currencyUS$ 87.24 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex optimization. Highlighted applications include low-rank approximation, matrix completion, subspace learning, logistic regression for binary classification, robust PCA, dimensionality reduction and Procrustes problems. Extensively classroom-tested, the book includes over 200 multiple-choice questions suitable for in-class interactive learning or quizzes, as well as homework exercises (with solutions available for instructors). It encourages active learning with engaging 'explore' questions, with answers at the back of each chapter, and Julia code examples to demonstrate how the mathematics is actually used in practice. A suite of computational notebooks offers a hands-on learning experience for students. This is a perfect textbook for upper-level undergraduates and first-year graduate students who have taken a prior course in linear algebra basics.
