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World Scientific Publishing Company World Scientific Linear Algebra for Machine Learning Vol 1

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Description

Master the mathematical foundations required for modern technology with Linear Algebra and Optimization with Applications to Machine Learning - Volume I. Published by World Scientific Publishing Company, this book provides essential mathematical theory for practitioners in computer vision, robotics, machine learning, applied mathematics, and electrical engineering. Designed for readers with a basic knowledge of calculus, the text develops rigorous yet practical explanations for complex concepts. You will explore vector spaces, bases, linear maps, duality, and Hermitian spaces. The content also covers spectral theorems, SVD, and the primary decomposition theorem. By integrating pertinent real-world applications throughout, this volume serves as a foundational tool for understanding the mathematical mechanics used in computer science and engineering fields.

Key Features

Covers fundamental mathematical theory including vector spaces, bases, linear maps, and duality.

Provides deep dives into advanced topics such as Hermitian spaces, spectral theorems, and SVD.

Includes the primary decomposition theorem and mathematical explanations for essential tools.

Designed for practitioners in computer vision, robotics, machine learning, and electrical engineering.

Features real-world applications to connect mathematical theory with practical use cases.

Requires only a basic knowledge of calculus to begin learning the material.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 March 2020
Listed Since
08 May 2019

Barcode

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