Data Science for IoT Engineers

A Systems Analytics Approach
1. Auflage 2021
ISBN: 978-1-68392-642-9
Verlag: Mercury Learning and Information

Buch, Englisch, 158 Seiten, Paperback, Format (B × H): 178 mm x 229 mm, Gewicht: 300 g

No detailed description available for "Data Science for IoT Engineers".

Autoren/Hrsg.

Madhavan, P. G.

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmenskommunikation
• Mathematik | Informatik EDV | Informatik Business Application Präsentationsgraphik
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein

Inhaltsverzeichnis

Part One1: Machine Learning from Multiple Perspectives2: Introduction to Machine Learning3: Systems Theory, Linear Algebra, and Analytics Basics4: Modern Machine LearningPart Two: Systems Analytics5: Systems Theory Foundations of Machine Learning6: State Space Model and Bayes Filter7: The Kalman Filter for Adaptive Machine Learning8: The Need for Dynamical Machine Learning9: Digital TwinsEpilogue: A New Random Field TheoryIndex

Über Autor(innen)

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).