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LINR ALGEBRA & OPTIM APPL (V1)

LINR ALGEBRA & OPTIM APPL (V1)

Linear Algebra and Optimization with Applications to Machine Learning

GALLIER JEAN / Jean Gallier / JEAN GALLIER & JOCELYN QUAINTANCE / Jocelyn Quaintance

120,38 €
IVA incluido
Disponible
Editorial:
World Scientific Publishing Co Pte Ltd
Año de edición:
2020
Materia
Ciencias de la computación
ISBN:
9789811207716
120,38 €
IVA incluido
Disponible

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Sobre IBD

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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    For more than thirty years the senior author has been trying to learn algebraic geometry. In the process he discovered that many of the classic textbooks in algebraic geometry require substantial knowledge of cohomology, homological algebra, and sheaf theory. In an attempt to demystify these abstract concepts and facilitate understanding for a new generation of mathematicians, ...
  • LINR ALGEBRA & OPTIM APPL (V2)
    GALLIER JEAN / Jean Gallier / JEAN GALLIER & JOCELYN QUAINTANCE / Jocelyn Quaintance
    Volume 2 applies the linear algebra concepts presented in Volume 1 to optimization problems which frequently occur throughout machine learning. This book blends theory with practice by not only carefully discussing the mathematical under pinnings of each optimization technique but by applying these techniques to linear programming, support vector machines (SVM), principal compo...
  • LINR ALGEBRA & OPTIM APPL (V1)
    GALLIER JEAN / Jean Gallier / JEAN GALLIER & JOCELYN QUAINTANCE / Jocelyn Quaintance
    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, Hermi...