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Anestis Antoniadis, Jairo Cugliari, Jean-Michel Poggi, Yannig Goude

Statistical Learning Tools for Electricity Load Forecasting

This monograph explores a set of statistical and machine learning tools that can be effectively utilized for applied data analysis in the context of electricity load forecasting. Drawing on their substant…

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Michael Hagmann, Stefan Riezler

Validity, Reliability, and Significance

This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science. The authors present problems of validity, reliabilit…

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