Machine Learning (ML) refers to a set of data-driven algorithms and techniques that automate the prediction, classification, and clustering of data. Machine learning can play a critical role in spatial problem solving in a wide range of application areas, from image classification to spatial pattern detection to multivariate prediction. In addition to traditional Machine Learning techniques, ArcGIS also has a subset of ML techniques that are inherently spatial. This workshop will cover the wide range of both traditional and spatial ML tools currently in ArcGIS, how to integrate built-in tools with other machine learning packages (from scikit-learn and TensorFlow in Python to caret in R to IBM Watson and Microsoft AI), and give you a glimpse at the road ahead.