Date: Fri, 18 Feb 2022 22:43:00 +0000
<p>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.</p> <p><a href="https://dataskeptic.com/blog/episodes/2022/tracking-elephant-clusters" rel="noopener" target="_blank">Click here to see additional show notes on our website!</a></p> <p>Thanks to our sponsor, <a href="https://astrato.io/dataskeptic" rel="noopener" target="_blank">Astrato</a></p>
