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Verlag: World Scientific Pub Co Inc, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
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Verlag: World Scientific Publishing Company, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
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Verlag: World Scientific Publishing Company 2020-03-22, 2020
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Verlag: World Scientific Publishing Co Pte Ltd, Singapore, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
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Paperback. Zustand: new. Paperback. This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: World Scientific Publishing Company, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
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Verlag: World Scientific Publishing Co Pte Ltd, SG, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
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In den WarenkorbPaperback. Zustand: New. This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.
Sprache: Englisch
Verlag: World Scientific Publishing Company, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
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Verlag: World Scientific Publishing Co Pte Ltd, SG, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Paperback. Zustand: New. This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Zustand: New. 2020. Paperback. . . . . .
Sprache: Englisch
Verlag: World Scientific Publishing Company 2020-03-22, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
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Sprache: Englisch
Verlag: World Scientific Publishing Company, 2020
ISBN 10: 9811206392 ISBN 13: 9789811206399
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Zustand: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
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Zustand: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: World Scientific Publishing Company, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New.
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Verlag: World Scientific Pub Co Inc, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 806 pages. 9.00x6.00x1.50 inches. In Stock.
Sprache: Englisch
Verlag: Information Science Reference, 2019
ISBN 10: 1522581006 ISBN 13: 9781522581000
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hardcover. Zustand: Very Good.
Sprache: Englisch
Verlag: Springer Verlag, Singapore, Singapore, 2021
ISBN 10: 9811605971 ISBN 13: 9789811605970
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Hardcover. Zustand: new. Hardcover. Machine learning has become one of the most prevalent topics in recent years. The application of machine learning we see today is a tip of the iceberg. The machine learning revolution has just started to roll out. It is becoming an integral part of all modern electronic devices. Applications in automation areas like automotive, security and surveillance, augmented reality, smart home, retail automation and healthcare are few of them. Robotics is also rising to dominate the automated world. The future applications of machine learning in the robotics area are still undiscovered to the common readers. We are, therefore, putting an effort to write this edited book on the future applications of machine learning on robotics where several applications have been included in separate chapters. The content of the book is technical. It has been tried to cover all possible application areas of Robotics using machine learning. This book will provide the future vision on the unexplored areas ofapplications of Robotics using machine learning. The ideas to be presented in this book are backed up by original research results. The chapter provided here in-depth look with all necessary theory and mathematical calculations. It will be perfect for laymen and developers as it will combine both advanced and introductory material to form an argument for what machine learning could achieve in the future. It will provide a vision on future areas of application and their approach in detail. Therefore, this book will be immensely beneficial for the academicians, researchers and industry project managers to develop their new project and thereby beneficial for mankind. Original research and review works with model and build Robotics applications using Machine learning are included as chapters in this book. We are, therefore, putting an effort to write this edited book on the future applications of machine learning on robotics where several applications have been included in separate chapters. This book will provide the future vision on the unexplored areas ofapplications of Robotics using machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Zustand: New. KlappentextrnrnThis book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the author.
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In den WarenkorbHardcover. Zustand: Brand New. 240 pages. 9.00x6.00x0.56 inches. In Stock.
Sprache: Englisch
Verlag: World Scientific Publishing Co Pte Ltd, SG, 2020
ISBN 10: 9811207712 ISBN 13: 9789811207716
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
Paperback. Zustand: New. This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition theorem. At all times, pertinent real-world applications are provided. This book includes the mathematical explanations for the tools used which we believe that is adequate for computer scientists, engineers and mathematicians who really want to do serious research and make significant contributions in their respective fields.