Teaching Spatial Data Science and Deep Learning

Ilya Zaslavsky, UC San Diego and Dmitry Kudinov, Esri

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Deep learning and neural networks enable data scientists to apply machine learning techniques to a growing range of real world problems—many fueled by massive repositories of GIS data. A unique course at UC San Diego has become a national exemplar.

Browse this gallery of StoryMaps, web mapping apps, Python notebooks, journal articles, or other digital resources supporting the science presented in this chapter of the Esri Press book GIS for Science: Maps for Saving the Planet, Volume 3.