Training data used in machine learning can take many forms, including images, MRI scans, text, CSV/tabular data (e.g., database queries), audio recordings, geospatial data (e.g., radar or vector), logs, time-series data (e.g., stock trades), binaries or computer applications, video frames, and many more.