LINEAR ALGEBRA AND OPTIMIZATION WITH APPLICATIONS TO MACHINE LEARNING - VOLUME I: LINEAR ALGEBRA FOR COMPUTER VISION, ROBOTICS, AND MACHINE LEARNING

Language: English

Published by World Scientific Publishing Co Pte Ltd, SG, 2020

9811207712 / 9789811207716

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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.

Seller Inventory # LU-9789811207716

Title
LINEAR ALGEBRA AND OPTIMIZATION WITH APPLICATIONS TO MACHINE LEARNING - VOLUME I: LINEAR ALGEBRA FOR COMPUTER VISION, ROBOTICS, AND MACHINE LEARNING
Author
Jocelyn Quaintance, Jean Gallier
Publisher
World Scientific Publishing Co Pte Ltd, SG
Publication year
2020
Condition
New
Binding
Paperback
Language
English
ISBN 10
9811207712
ISBN 13
9789811207716

Rarewaves.com UK

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