How Machines Learn to Spot Patterns in Data

How can a computer spot spam, recommend a song or identify a cat in a photograph without a separate hand-written rule for every possible message, tune or image? The surprising answer is that it can compare examples and detect patterns in data, even though it does not understand them as a person does. This leads to our central enquiry: how can learning from examples help a machine make a useful prediction or grouping?