Data Science for IoT Engineers : A Systems Analytics Approach
Book Details
Format
Paperback / Softback
ISBN-10
1683926420
ISBN-13
9781683926429
Publisher
Mercury Learning & Information
Imprint
Mercury Learning & Information
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 31st, 2021
Print length
158 Pages
Weight
445 grams
Ksh 7,950.00
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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 subject knowledge to data science, machine learning, or analytics and apply it to IoT applications. Part One brings together subjects in machine learning, systems theory, linear algebra, digital signal processing, and probability theory. Part Two (Systems Analytics) develops a “universal” nonlinear, time-varying dynamical machine learning solution that can faithfully model all the essential complexities of real-life business problems and shows how to apply it.
Features:
- Develops a “universal,” nonlinear, dynamical machine learning solution to model and apply the complexities of modern applications in IoT
- Covers topics such as machine learning, systems theory, linear algebra, digital signal processing, probability theory, state-space formulation, Bayesian estimation, Kalman filter, causality, and digital twins.
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