Data Science for IoT Engineers:A Systems Analytics Approach

by: P. G. Madhavan (author) (Author)

Publisher: Mercury Leaing and Information

Publication Date: 30 Dec. 2021

Language: English

Print Length: 180 pages

ISBN-10: 1683926420

ISBN-13: 9781683926429

Book Description

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 leaing, or analytics and apply it to IoT applications. Part One brings together subjects in machine leaing, systems theory, linear algebra, digital signal processing, and probability theory. Part Two (Systems Analytics) develops a "universal" nonlinear, time-varying dynamical machine leaing 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 leaing solution to model and apply the complexities of mode applications in IoTCovers topics such as machine leaing, systems theory, linear algebra, digital signal processing, probability theory, state-space formulation, Bayesian estimation, Kalman filter, causality, and digital twins.