Ever wondered what machine learning was and still failed to understand it no matter how much you read? Then this neat visual introduction to the topic should do just the trick.
Using a data-set about homes, the site does an amazing job of describing how it’s possible to teach computers to discern between different types of things and classify them, ultimately leading to making predictions.
So, using that housing data, you’ll see how it’s possible to use statistical models to distinguish homes in New York from homes in San Francisco as the stated example. It’s like magic, only it’s maths and science. Take a look. [A Visual Introduction to Machine Learning via Flowing Data]