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Presentation . 2021
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Presentation . 2021
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Beta Test of Library Carpentry Introduction to AI and Machine Learning

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 07 Apr 2021Publisher:Zenodo
Authors: Bell, Mark; Trizna, Mike; McGregor, Nora; van Strien, Daniel;

doi: 10.5281/zenodo.4700664 , 10.5281/zenodo.4670768 , 10.5281/zenodo.4670769

Beta Test of Library Carpentry Introduction to AI and Machine Learning

Abstract

In this workshop, Mark Bell, Mike Trizna, Nora McGregor, and Daniel van Strien will beta test the lesson that is currently in the early stages of development and is to become a part of the Library Carpentry Curriculum. The workshop aims to empower GLAM (Galleries, Libraries, Archives, and Museums) staff by providing the foundation to support, participate in and begin to undertake in their own right, machine learning-based research and projects with heritage collections.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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