This book introduces the concepts of data science to professionals in engineering, physics, mathematics, and allied fields. It is a workbook with MATLAB code that creates a common framework and points out various interconnections related to industry. This will allow the reader to connect previous subject knowledge to data science, machine learning, or analytics and apply it to Io T applications. Part One brings together subjects in machine learning, systems theory, linear algebra, digital signal processing, and probability theory. Part Two (Systems Analytics) develops a "universal" nonlinear, time-varying dynamical machine learning solution that can faithfully model all the essential complexities of real-life business problems and shows how to apply it.FEATURES:Develops a "universal, " nonlinear, dynamical machine learning solution to model and apply the complexities of modern applications in Io TCovers topics such as machine learning, systems theory, linear algebra, digital signal processing, probability theory, state-space formulation, Bayesian estimation, Kalman filter, causality, and digital twins.
Madhavan P. G. Madhavan
Data Science for IoT Engineers [EPUB ebook]
A Systems Analytics Approach
Data Science for IoT Engineers [EPUB ebook]
A Systems Analytics Approach
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язык английский ● Формат EPUB ● страницы 158 ● ISBN 9781683926405 ● издатель Mercury Learning and Information ● опубликованный 2021 ● Загружаемые 3 раз ● валюта EUR ● Код товара 8808972 ● Защита от копирования Adobe DRM
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