Tracking Elephant Clusters

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. [Click here to see additional show notes on our website!](https://dataskeptic.com/blog/episodes/2022/tracking-elephant-clusters) Thanks to our sponsor, [Astrato](https://astrato.io/dataskeptic)

Guest

Gregory Glatzer