Data Science for Iot Engineers: A Systems Analytics Approach
Autor P. G. Madhavanen Limba Engleză Paperback – 26 dec 2021
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Specificații
ISBN-13: 9781683926429
ISBN-10: 1683926420
Pagini: 158
Dimensiuni: 178 x 229 x 10 mm
Greutate: 0.45 kg
Editura: Mercury Learning & Information
ISBN-10: 1683926420
Pagini: 158
Dimensiuni: 178 x 229 x 10 mm
Greutate: 0.45 kg
Editura: Mercury Learning & Information
Notă biografică
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).
Cuprins
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
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