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portada Data Driven Model Learning for Engineers. With Applications to Univariate Time Series
Type
Physical Book
Year
2024
Pages
212
Format
Paperback
Dimensions
23.5x15.5 cm
ISBN13
9783031316388

Data Driven Model Learning for Engineers. With Applications to Univariate Time Series

Guillaume Mercere (Author) · Springer International Publishing AG · Paperback

Data Driven Model Learning for Engineers. With Applications to Univariate Time Series - Guillaume Mercere

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Synopsis "Data Driven Model Learning for Engineers. With Applications to Univariate Time Series"

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 time series.

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