Data Science for IoT Engineers : A Systems Analytics Approach
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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.
Get Data Science for IoT Engineers by P. G. Madhavan at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Mercury Learning & Information and it has 158 pages.