The Azure Data Platform provides multiple options for Machine Learning, from classical ml to deep learning, supervised, and unsupervised learning. Whether you prefer to write Python or R code with or work with no-code/low-code options in the Azure Data Studio tool, you can build, train, and track machine learning and deep-learning models in multiple interconnected technologies. In this session, Buck Woody will show you an example of each of these, and a process to choose the right technology based on your workload.