Data Science for IoT Engineers: A Systems Analytics Approach
Author: P. G. Madhavan Ph.D. (Author)
Publisher finelybook 出版社: Mercury Learning and Information
Publication Date 出版日期: 2021-12-27
Language 语言: English
Print Length 页数: 158 pages
ISBN-10: 1683926420
ISBN-13: 9781683926429
Book Description
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.
About the Author
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).
