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Machine Learning
Above: A quick explanation of machine learning
What is it?
Machine learning is the automated process and use of a system that creates a feedback response between the artificial intelligence technology or software, and the intended target computer system that provides the A.I. with data that triggers a different response, simulating what our human brains describe as “learning” in a computer environment (Griffey, 2019). The A.I. is not sentient, and is not making decisions on its own accord, but is following a set of commands, which are written in coded language by the computer scientist at the time of the program’s creation.
Artificially intelligent programs that use machine learning can help librarians accomplish tasks such as creating abstracts for research papers automatically, creating appropriate metadata tags for published resources, creating a more efficient work environment, among many other applications that will continue to move libraries into the future (Smith, 2018).
How can machine learning be used in libraries?
References
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