Szkoła Eksploatacji Podziemnej

The presentation will describe the integration of Geographic Information Systems (GIS) and machine learning to analyze spatial data and model natural processes. GIS provides a robust framework for capturing, storing, and visualizing geospatial data, while machine learning offers powerful techniques for identifying patterns and making predictions from complex datasets. By leveraging GIS tools, we can preprocess and manage large volumes of spatial data, which can then be fed into machine learning algorithms to develop predictive models.