Data Science for IoT Engineers
A Systems Analytics Approach
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23 309 Ft (22 199 Ft + 5% VAT)
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23 309 Ft
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Product details:
- Edition number 1
- Publisher Mercury Learning and Information
- Date of Publication 31 December 2021
- ISBN 9781683926429
- Binding Paperback
- No. of pages158 pages
- Size 229x178 mm
- Weight 444 g
- Language English 275
Categories
Short description:
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.
MoreLong description:
No detailed description available for "Data Science for IoT Engineers".
MoreTable of Contents:
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
More
