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# Tutorial on introduction to Bayesian optimization
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[![DOI](https://zenodo.org/badge/759758537.svg)](https://zenodo.org/doi/10.5281/zenodo.10723702)
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[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
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- [Download the repository](#download-the-repository)
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## Citing the tutorial
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This tutorial is registered [Zenodo](https://zenodo.org/), which means that there is a DOI for each code release.
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This tutorial is registered [Zenodo](https://doi.org/10.5281/zenodo.10723703).
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Please use this DOI when citing this code:
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```bibtex
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@software{andrea_santamaria_garcia_2024_10723703,
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author = {Andrea Santamaria Garcia and
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Chenran Xu},
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title = {{machine-learning-tutorial/bayesian-optimization:
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v1.0.0}},
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month = {02},
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year = {2024},
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publisher = {Zenodo},
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version = {v1.0},
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doi = {10.5281/zenodo.10723703},
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url = {https://doi.org/10.5281/zenodo.10723703}
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}
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```
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## Disclaimer
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The content of this repository was developed by the [AI4Accelerators team](https://www.ibpt.kit.edu/AI4Accelerators.php) at the [Institute of Beam Physics and Technology (IBPT)](https://www.ibpt.kit.edu/), [Karlsruhe Institute of Technology](https://www.kit.edu/english/).

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