What are the different types of machine learning algorithms?

There are three main types of machine learning:

1. Supervised learning: The machine learning program is trained on a set of data that has already been labelled. By matching the names to the data, the algorithm learns to find trends in the data.
2. Unsupervised learning: The machine learning program is trained on a set of data that has not been labelled. The program learns to find patterns in the data by looking for groups of patterns that occur at the same time.
3. Reinforcement learning: In this method, an agent interacts with its surroundings and learns from trial and error. The agent takes actions, receives feedback, and adjusts its behaviour to maximise cumulative rewards.