Other applications of ML

You can come up with many more applications that are hard to categorize. ML can be done on virtually any data if you have enough of it. Some peculiar data types are:

• Spatial data: GPS location (Chapter 4, K-Means Clustering), coordinates of UI objects and touches
• Tree-like structures: hierarchy of folders and files
• Network-like data: occurrences of people together in your photos, or hyperlinks between web pages
• Application logs and user in-app activity data (Chapter 5, Association Rule Learning)
• System data: free space disk, battery level, and similar
• Survey results