Absolutely. Very strongly agree with the last paragraph, and that's how I aspire to learn in general. Can you point me to some resources(book or otherwise) that goes over all these relationship in a general framework?
Unfortunately, it's just something you start to notice once you become more familiar with the fundamental math underlying all of this.
The book, Machine Learning: A Probabilistic Perspective by Kevin Murphy (the original book everyone in this thread is talking about) is probably the closest thing I can think of. Its goal is to frame everything around graphical models and probability. It's quite a tome. Still, despite its breadth, it can't possibly cover everything.
The book, Machine Learning: A Probabilistic Perspective by Kevin Murphy (the original book everyone in this thread is talking about) is probably the closest thing I can think of. Its goal is to frame everything around graphical models and probability. It's quite a tome. Still, despite its breadth, it can't possibly cover everything.