Name: Linear Algebra and Optimization With Applications to Machine Learning - Volume i: Linear Algebra for Computer Vision, Robotics, and Machine Learning (en Inglés)
Price: 2413.79 MXN
Availability: InStock
Author: Jean Gallier; Jocelyn Quaintance
ISBN: 9789811207716

portada Linear Algebra and Optimization With Applications to Machine Learning - Volume i: Linear Algebra for Computer Vision, Robotics, and Machine Learning (en Inglés)

Linear Algebra and Optimization With Applications to Machine Learning - Volume i: Linear Algebra for Computer Vision, Robotics, and Machine Learning (en Inglés)

Formato

Libro Físico

Editorial

Wspc

Autor

Jean Gallier; Jocelyn Quaintance

Año

2020

Idioma

Inglés

N° páginas

824

Encuadernación

Tapa Blanda

ISBN13

9789811207716

Categorías

Ciencias de la computación

Linear Algebra and Optimization With Applications to Machine Learning - Volume i: Linear Algebra for Computer Vision, Robotics, and Machine Learning (en Inglés)

Jean Gallier; Jocelyn Quaintance (Autor) · Wspc · Tapa Blanda

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Reseña del libro "Linear Algebra and Optimization With Applications to Machine Learning - Volume i: Linear Algebra for Computer Vision, Robotics, and Machine Learning (en Inglés)"

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.