Tracking Elephant Clusters

Behind a seemingly simple model result are choices about data, assumptions, and tradeoffs. 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.

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Gregory Glatzer: I am a software engineer + data scientist specializing in building data-heavy web platforms. I thrive in roles that look to translate cutting edge approaches into user-friendly products.