6 ◾ Accel erating Disc over y
way to put that powerful specialized processor to work on your data
problem and you will inevitably be astounded at what you can see.
• Everything is a taxonomy/feature vector/network: At the risk of
oversimplifying things a bit, there are really only three basic things
you need to know to make sense of data: What the entities are that
you care about and how they relate to each other (the taxonomy),
how you can describe those entities as features (feature vector), and
how you can represent the way those entities interact (network).
Every problem involves some subset or combination of these ideas. It
really is that simple.
• Time is not a magazine: e data we take to begin our investigation
with is usually ...