a learning algorithm can be thought of as searching through the space of hypotheses for a hypothesis function that works well on the training set, and also on new examples that it hasn’t seen yet to ...

In supervised learning, the most prevalent, the data is labeled to tell the machine exactly what patterns it should look for. Think of it as something like a sniffer dog that will hunt down ...