Linear Algebra and Optimization With Applications to Machine Learning : Linea...

Description: Linear Algebra and Optimization With Applications to Machine Learning : Linear Algebra for Computer Vision, Robotics, and Machine Learning, Paperback by Gallier, Jean H.; Quaintance, Jocelyn, ISBN 9811207712, ISBN-13 9789811207716, Brand New, Free shipping in the US "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"--

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Book Title: Linear Algebra and Optimization With Applications to Machine Lear

Number of Pages: 550 Pages

Language: English

Publication Name: Linear Algebra and Optimization with Applications to Machine Learning : Linear Algebra for Computer Vision, Robotics, and Machine Learning

Publisher: World Industries Scientific Publishing Co Pte LTD

Publication Year: 2020

Subject: Algebra / Linear, Computer Science, General, Optimization

Item Weight: 0 Oz

Type: Textbook

Author: Jean H. Gallier, Jocelyn Quaintance

Subject Area: Mathematics, Computers

Format: Trade Paperback