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Data Science for IoT Engineers: A Systems Analytics Approach - Tapa blanda

Madhavan, P. G.

 
9781683926429: Data Science for IoT Engineers: A Systems Analytics Approach
Tapa blanda
ISBN 10: 1683926420 ISBN 13: 9781683926429
Editorial: Mercury Learning and Information, 2021

Sinopsis

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 IoT 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 IoT Covers 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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

P. G. Madhavan, Ph.D., has an extensive background in the Internet of Things (IoT), machine learning, digital twins, and wireless technologies in roles such as Chief IoT Officer and IoT Product Manager at large corporations (including Rockwell Automation, GE Aviation, and NEC).

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Mercury Learning and Information
Año de publicación
2021
Idioma
Inglés
ISBN 10 
1683926420
ISBN 13 
9781683926429
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
172
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