Data Science for IoT Engineers: A Systems Analytics Approach

Madhavan, P. G.

ISBN 10: 1683926420 / ISBN 13: 9781683926429

Verlag: Mercury Learning and Information, 2021

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Bestandsnummer des Verkäufers 9781683926429

Bibliografische Details

• Titel: Data Science for IoT Engineers: A Systems Analytics Approach
• Verlag: Mercury Learning and Information
• Erscheinungsjahr: 2021
• Sprache: Englisch
• ISBN-10: 1683926420
• ISBN-13: 9781683926429
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den 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).