Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning

Linear Algebra for Computer Vision, Robotics, and Machine Learning

Gallier, Jean H (Univ Of Pennsylvania, Quaintance, Jocelyn (University Of Pennsylvania - Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning

Omschrijving

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.

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Schrijver: Gallier, Jean H (Univ Of Pennsylvania, Quaintance, Jocelyn (University Of Pennsylvania
Titel: Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
Uitgever: World Scientific Publishing Co Pte Ltd

Jaar: 2020
Taal: Engels
Pagina's: 824
Gewicht: 1190 gr

EAN: 9789811207716
Afmetingen: 229 x 152 x 45 mm
Bindwijze: Paperback / softback

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Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning

Linear Algebra for Computer Vision, Robotics, and Machine Learning

Omschrijving

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