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Data Science for IoT Engineers: A Systems Analytics Approach
Madhavan Ph.D., P. G.你有多喜欢这本书?
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This book is designed to introduce 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: Introduces the concepts of data science to professionals in engineering, physics, mathematics, and allied fields 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.
年:
2022
出版社:
Mercury Learning and Information
语言:
english
页:
170
ISBN 10:
1683926420
ISBN 13:
9781683926429
文件:
PDF, 10.07 MB
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IPFS:
CID , CID Blake2b
english, 2022
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