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Use coupon code “MARCH20” for a 20% discount on all items! Valid until 31-03-2025
Royal Mail express delivery to UK destinations
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| Product ID: | 9789811207716 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning |
| Authors: | Author: Jean H Gallier, Jocelyn Quaintance |
| Page Count: | 824 |
| Subjects: | Algebra, Algebra, Maths for computer scientists, Machine learning, Computer vision, Maths for computer scientists, Machine learning, Computer vision |
| Description: | Select Guide Rating 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. 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. |
| Imprint Name: | World Scientific Publishing Co Pte Ltd |
| Publisher Name: | World Scientific Publishing Co Pte Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2020-02-07 |
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