Artificial Intelligence

What is AI?

Artificial intelligence is a type of algorithm that is meant to solve a specific problem.
Machine Learning is a subset of AI which learns from a large amount of data data to solve a problem.
Examples of machine learning include differentiating two different objects, even if it has never seen that particular image of the object before.

There are three main types of Machine Learning, supervised, unsupervised, and semi-supervised.
Reinforcement Learning is a special kind of AI, which works in an environment, and gets “rewards” and “punishments”, based on what it does, and it will slowly start doing more rewarding actions and less punishing actions.

A way to think about machine learning is building and testing the network, and the networks that test the best get to move on. Then it builds better networks according to how the best of the lot did.
Unsupervised learning is good for clustering and grouping data, however, supervised learning can be used for both classification, and regression. Classification is good for discrete problems, whether an email is spam or not, for example, but regression is better for continuous problems, such as what the temperature may be in the future based on past trends.