Data Science for IoT Engineers

A Systems Analytics Approach

P. G. Madhavan (Autor)

Buch | Softcover

158 Seiten

2021
Mercury Learning & Information (Verlag)
978-1-68392-642-9 (ISBN)

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Designed to introduce the concepts of data science to professionals in engineering, physics, mathematics, and allied fields. This is a workbook with MATLAB code that creates a common framework and points out various interconnections related to industry.

Madhavan P. G. : 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).

Part One

1: Machine Learning from Multiple Perspectives

2: Introduction to Machine Learning

3: Systems Theory, Linear Algebra, and Analytics Basics

4: Modern Machine Learning

Part Two: Systems Analytics

5: Systems Theory Foundations of Machine Learning

6: State Space Model and Bayes Filter

7: The Kalman Filter for Adaptive Machine Learning

8: The Need for Dynamical Machine Learning

9: Digital Twins

Epilogue: A New Random Field Theory

Index

Erscheinungsdatum	04.01.2022
Sprache	englisch
Gewicht	445 g
Themenwelt	Mathematik / Informatik ► Informatik ► Office Programme
	Wirtschaft ► Betriebswirtschaft / Management
	Wirtschaft ► Volkswirtschaftslehre
ISBN-10	1-68392-642-0 / 1683926420
ISBN-13	978-1-68392-642-9 / 9781683926429
Zustand	Neuware