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references.bib
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@article{knuth84,
author = {Knuth, Donald E.},
title = {Literate Programming},
year = {1984},
issue_date = {May 1984},
publisher = {Oxford University Press, Inc.},
address = {USA},
volume = {27},
number = {2},
issn = {0010-4620},
url = {https://doi.org/10.1093/comjnl/27.2.97},
doi = {10.1093/comjnl/27.2.97},
journal = {Comput. J.},
month = may,
pages = {97–111},
numpages = {15}
}
@article{Darby2022AITR,
title={AI training resources for GLAM: a snapshot},
author={Andrew Darby and Catherine Nicole Coleman and Claudia Engel and Daniel Alexander van Strien and Michael Trizna and Zachary Painter},
journal={ArXiv},
year={2022},
volume={abs/2205.04738}
}
@InProceedings{pmlr-v170-strien22a,
title = {An Introduction to AI for GLAM},
author = {{van Strien}, Daniel and Bell, Mark and McGregor, Nora Rose and Trizna, Michael},
booktitle = {Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop},
pages = {20--24},
year = {2022},
editor = {Kinnaird, Katherine M. and Steinbach, Peter and Guhr, Oliver},
volume = {170},
series = {Proceedings of Machine Learning Research},
month = {08--13 Sep},
publisher = {PMLR},
pdf = {https://proceedings.mlr.press/v170/strien22a/strien22a.pdf},
url = {https://proceedings.mlr.press/v170/strien22a.html},
abstract = {There is a growing interest in utilising Machine Learning (ML) techniques within Galleries, Libraries, Archives and Museums (GLAM), and a corresponding demand for training to enable practitioners to engage confidently in this area. Staff at these institutions are seeking practical knowledge and skills in ML concepts and methods specific to the sector’s work, such as in the curation and collection of heritage collections. In this paper, we discuss the motivations and methods behind "An Introduction to AI for GLAM" a new Carpentries workshop under development through an international partnership between British Library, Smithsonian Institution, and The National Archives UK. This new workshop aims to introduce GLAM practitioners to the essential conceptual and practical considerations for supporting, participating in and undertaking machine learning-based research and projects within the GLAM sector.}
}
@book{ameisen2020building,
title={Building Machine Learning Powered Applications: Going from Idea to Product},
author={Ameisen, Emmanuel},
year={2020},
publisher={" O'Reilly Media, Inc."}
}
@book{huyen2022designing,
title={Designing Machine Learning Systems},
author={Huyen, Chip},
year={2022},
publisher={" O'Reilly Media, Inc."}
}
@book{lakshmanan2020machine,
title={Machine learning design patterns},
author={Lakshmanan, Valliappa and Robinson, Sara and Munn, Michael},
year={2020},
publisher={O'Reilly Media}
}
@article{Lee2020TheNN,
title={The Newspaper Navigator Dataset: Extracting Headlines and Visual Content from 16 Million Historic Newspaper Pages in Chronicling America},
author={B. Lee and Jaime Mears and Eileen Jakeway and Meghan M. Ferriter and Chris Adams and Nathan Yarasavage and Deborah Thomas and Kate Zwaard and Daniel S. Weld},
journal={Proceedings of the 29th ACM International Conference on Information \& Knowledge Management},
year={2020}
}