Our sole purpose as data scientists is to create value from
data. More specific to machine learning (ML), we use algorithms to
learn from data so that we can recognize patterns and use them to
build generalizable models that ultimately benefit the top or
bottom lines.
That benefit—or value—is defined by the need that is driving our
work. If working for a biotech company, that need might be to
discover a new treatment. In marketing, value might come from a
model that attributes...
