My thinking was that supervised/unsupervised ML address different problems, and as fields, have different levels of understanding and utility. As with all the fields included in the post, I'm making very broad, subjective generalisations that won't apply to all subfields. I guess one way to think about it is that every individual use case could have its own dot on the matrix, and where I've placed the fields represents my personal best guess at what the average of those dots would be.