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

Description

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
 
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Writer
Gallier, Jean H (Univ Of Pennsylvania, Quaintance, Jocelyn (University Of Pennsylvania
Title
Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
Publisher
World Scientific Publishing Co Pte Ltd
Year
2020
Language
English
Pages
824
Weight
1190 gr
EAN
9789811207716
Dimensions
229 x 152 x 45 mm
Binding format
Paperback / softback

You will always receive the last edition from us!


Categories

Boekstra