In today’s episode, Gregory Glatzer explained his machine learning project that involved the prediction of elephant movement and settlement, in a bid to limit the activities of poachers. He used two machine learning algorithms, DBSCAN and K-Means clustering at different stages of the project. Listen to learn about why these two techniques were useful and what conclusions could be drawn.
Q&A with Kyle
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The Defeat of the Winograd Schema Challenge
LLMs in Social Science
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Why Prompting is Hard
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