Machine Learning
for the Quantified Self
On the Art of Learning from Sensory Data,
Sensors are all around us, and increasingly on us. We carry smartphones and
watches, which have the potential to gather enormous quantities of data. These data
are often noisy, interrupted, and increasingly high dimensional. A challenge in data
science is how to put this veritable fire hose of noisy data to use and extract useful
summaries and predictions.
