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

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

About This Edition

ISBN: 9789811207716
Publication date: 7th February 2020
Author: Jean H (Univ Of Pennsylvania, Usa) Gallier, Jocelyn (Univ Of Pennsylvania, Usa) Quaintance
Publisher: World Scientific Publishing Co Pte Ltd
Format: Paperback
Pagination: 824 pages
Genres: Maths for computer scientists
Machine learning
Computer vision
Algebra