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Tuning: Methodology

  • Bartz-Beielstein T
  • Zaefferer M
  • Mersmann O
Springer Nature Singapore, (2023), 7-26
DOI: 10.1007/978-981-19-5170-1_2
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Abstract

This chapter lays the groundwork and presents an introduction to the process of tuning Machine Learning (ML) and Deep Learning (DL) hyperparameters and the respective methodology used in this book. The key elements such as the hyperparameter tuning process and...

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Bartz-Beielstein, T., Zaefferer, M., & Mersmann, O. (2023). Tuning: Methodology. In Hyperparameter Tuning for Machine and Deep Learning with R (pp. 7–26). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-5170-1_2

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