“Machine Learning: A Primer” by Lizzie Turner, 2018

This reading describes a pre-LLM view of machine learning and serves as foundation knowledge for ML that we'll build on over the semester. What problems or applications do you think the methods discussed in this reading are superior to transformer-based models (e.g., LLMs) for?

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