Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning: 1 - Image 1

£70.00

World Scientific Publishing Company Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning: 1

Name: Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning: 1
Brand: World Scientific Publishing Company
Price: 70.0 GBP
Availability: InStock

Computer Science

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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.

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Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning: 1

Product type: ABIS BOOK

World Scientific Publishing Company

Product Specifications

Brand: World Scientific Publishing Company
Format: paperback
ASIN: 9811207712
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 22 March 2020
Listed Since: 08 May 2019

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World Scientific Publishing Company Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning: 1

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