Machine learning and AI is transforming the way we analyze spatial data, but for many GIS users, it still feels like an advanced and inaccessible field. In this session we will bridge that gap, no prior knowledge needed!

We’ll start by breaking down the three main types of machine learning tasks applicable in GIS: classification, regression, and clustering. Then, we’ll bring these concepts to life with practical examples, showing how to effectively apply machine learning to solve spatial challenges.

Whether you are curious about machine learning or looking for ways to enhance your GIS analysis, this presentation will equip you with the knowledge and tools to go from zero to hero!