Mercury Learning and Information & P. G. Madhavan 
Data Science for IoT Engineers [EPUB ebook] 
Master Data Science Techniques and Machine Learning Applications for Innovative IoT Solutions

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This book introduces data science to professionals in engineering, physics, mathematics, and related fields. It serves as a workbook with MATLAB code, linking subject knowledge to data science, machine learning, and analytics, with applications in Io T. Part One integrates machine learning, systems theory, linear algebra, digital signal processing, and probability theory. Part Two develops a nonlinear, time-varying machine learning solution for modeling real-life business problems.
Understanding data science is crucial for modern applications, particularly in Io T. This book presents a dynamic machine learning solution to handle these complexities. Topics include machine learning, systems theory, linear algebra, digital signal processing, probability theory, state-space formulation, Bayesian estimation, Kalman filter, causality, and digital twins.
The journey begins with data science and machine learning, covering systems theory and linear algebra. Advanced concepts like the Kalman filter and Bayesian estimation lead to developing a dynamic machine learning model. The book ends with practical applications using digital twins.

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Sprache Englisch ● Format EPUB ● Seiten 170 ● ISBN 9781836641889 ● Dateigröße 7.9 MB ● Verlag Packt Publishing ● Erscheinungsjahr 2024 ● herunterladbar 24 Monate ● Währung EUR ● ID 9568103 ● Kopierschutz ohne

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