Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning by Jocelyn Quaintance, Jean H Gallier (Paperback, 2020)

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ISBN-13: 9789811207716, 978-9811207716. 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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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.

Product Identifiers

PublisherWorld Industries Scientific Publishing Co Pte LTD
ISBN-139789811207716
eBay Product ID (ePID)12046524908

Product Key Features

SubjectComputer Science, Mathematics
Publication Year2020
Number of Pages824 Pages
Publication NameLinear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
LanguageEnglish
TypeTextbook
AuthorJocelyn Quaintance, Jean H Gallier
FormatPaperback

Additional Product Features

Country/Region of ManufactureSingapore
Title_AuthorJocelyn Quaintance, Jean H Gallier

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