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Anglický jazyk
Linear Algebra and Optimization with Applications to Machine Learning
Autor: Jean Gallier & 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... Viac o knihe
Na objednávku
156.78 €
bežná cena: 174.20 €
O knihe
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.
- Vydavateľstvo: World Scientific
- Rok vydania: 2020
- Formát: Paperback
- Rozmer: 229 x 152 mm
- Jazyk: Anglický jazyk
- ISBN: 9789811207716
