Five Upcoming Academic Books on Data Work, Big Tech, and Misinformation
Our most hotly anticipated books for fall!
Posted on in Blog Posts
Future-proofing Data Repositories for the AI Revolution
Best practices for preparing data for machine learning
Posted on June 19, 2024 in Blog Posts
Machine learning and artificial intelligence will revolutionize how data are stored, accessed, and used, and make these repositories even more valuable to researchers. How can librarians and data specialists prepare for this transition? In this recorded talk for Coalition for Networked Information (CNI), Stephanie Labou, a Data Science Librarian at the University of California, discusses UC’s work on data repositories and the best practices they’ve discovered for preparing data for machine learning.
Along the way, Stephanie clarifies the distinction between machine learning and AI, discusses how to align these standards with broader initiatives, and offers advice on creating meaningful metadata. Stephanie’s guidance will make the long run a little less intimidating.
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