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Springer
Data Driven Model Learning for Engineers: With Applications to Univariate Time Series
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The main goal of this comprehensive textbook is to cover the core techniques required to understand some of the basic and most popular model learning algorithms available for engineers, then illustrate their applicability directly with stationary
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