Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...

CHICAGO - The Association of College and Research Libraries (ACRL) announces the publication of "Text and Data Mining Literacy for Librarians," edited by Whitney Kramer, Iliana Burgos, and Evan ...

In order to be successful in this course, you will need to know how to program in Python. The expectation is that you have completed the first three courses in this Applied Data Science with Python ...

Transforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and application. However, most ...

Large Language Models (LLMs) ushered in a technological revolution. We breakdown how the most important models work. byLanguage Models (dot tech)@languagemodels byLanguage Models (dot ...

Introduction: The biomedical literature is the go-to source of information regarding relationships between biological entities, including genes, diseases, cell types, and drugs, but the rapid pace of ...

4 keys to writing modern Python Here’s what you need to know (and do) if you want to write Python like it’s 2025, not 2005. How to use uv, the super-fast Python package installer Last but not least, ...

In part two of this mini-series, we evaluate the range of machine-learning tools now available for application to veterinary clinical text-mining. These tools will be vital to automate extraction of ...