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