p.5
In this new coordinate system, the coordinates of our points can be said to be a new
"representation" of our data. And it’s a good one! With this representation, the
black/white classification problem can be expressed as a simple rule: black points are
such that x 0 or "white points are such that x < 0". Our new representation basically
solves the classification problem.
Should be:
black points are such that x > 0
All machine learning algorithms consist of automatically finding such
transformations that turn data into more useful representations for a given task. These
operations could sometimes be coordinate changes, as we just saw, or could be linear
projections (which may destroy information), translations, nonlinear operations (such as
select all points such that x 0), etc.
Should be:
select all points such that x > 0
