Linear Algebra and Optimization with Applications to Machine Learning - Volume I: Linear Algebra for Computer Vision, Robotics, and Machine Learning - Softcover

Gallier, Jean H; Quaintance, Jocelyn

 
9789811207716: Linear Algebra and Optimization with Applications to Machine Learning - Volume I: Linear Algebra for Computer Vision, Robotics, and Machine Learning
Softcover
ISBN 10: 9811207712 ISBN 13: 9789811207716
Publisher: World Scientific Pub Co Inc, 2020

Synopsis

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.

"synopsis" may belong to another edition of this title.

Publisher
World Scientific Pub Co Inc
Publication date
2020
Language
English
ISBN 10 
9811207712
ISBN 13 
9789811207716
Binding
Paperback
Number of pages
806

Other Popular Editions of the Same Title

9789811206399: Linear Algebra and Optimization with Applications to Machine Learning - Volume I: Linear Algebra for Computer Vision, Robotics, and Machine Learning

Featured Edition

ISBN 10:  9811206392 ISBN 13:  9789811206399
Publisher: World Scientific Pub Co Inc, 2020
Hardcover