Data Science for IoT Engineers : : A Systems Analytics Approach /

Data Science for IoT Engineers : : A Systems Analytics Approach / / P. G. Madhavan.

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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 su...

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Bibliographic Details
VerfasserIn:
Madhavan, P. G.,
Place / Publishing House:Dulles, VA : : Mercury Learning and Information, , [2021]
©2021
Year of Publication:2021
Language:English
Online Access:
Physical Description:1 online resource (158 p.)
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Table of Contents:
  • Frontmatter
  • Contents
  • Preface
  • About the Author
  • PART I Machine Learning from Multiple Perspectives
  • CHAPTER 1 Overview of Data Science
  • CHAPTER 2 Introduction to Machine Learning
  • CHAPTER 3 Systems Theory, Linear Algebra, and Analytics Basics
  • CHAPTER 4 “Modern” Machine Learning
  • PART II Systems Analytics
  • CHAPTER 5 Systems Theory Foundations of Machine Learning
  • CHAPTER 6 State Space Model and Bayes Filter
  • CHAPTER 7 The Kalman Filter for Adaptive Machine Learning
  • CHAPTER 8 The Need for Dynamical Machine Learning: The Bayesian Exact Recursive Estimation
  • CHAPTER 9 Digital Twins
  • Epilogue A New Random Field Theory
  • Index

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