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

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.
€ 103,25
Paperback / softback
 
Gratis verzending vanaf
€ 19,95 binnen Nederland
Schrijver
Gallier, Jean H (Univ Of Pennsylvania, Quaintance, Jocelyn (Univ 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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