Data Science for IoT Engineers

A Systems Analytics Approach

Data Science for IoT Engineers
P G Madhavan
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NZ$ 96.99
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NZ$ 92.14
Paperback
h229 x 178mm - 180pg
27 Dec 2021 US
9781683926429
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This book is designed to introduce 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:Introduces the concepts of data science to professionals in engineering, physics, mathematics, and allied fieldsDevelops a "universal," nonlinear, dynamical machine learning solution to model and apply the complexities of modern applications in IoTCovers 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.
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).
Status: Active
ISBN-13: 9781683926429
Published: 27 Dec 2021
Published In: United States
Imprint: Mercury Learning & Information
Publisher: Mercury Learning & Information
Format: Paperback
Height: 229mm
Width: 178mm
Pages: 180

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