Editing What is Machine Learning (section)

== Types of Machine Learning ==

=== Supervised Learning ===
In supervised learning, the model is trained on a labeled dataset, where each input is paired with a correct output. The goal is to learn a mapping from inputs to outputs.

* Example: Email spam detection (spam or not spam)

=== Unsupervised Learning ===
Unsupervised learning involves training a model on data without labeled responses. The model tries to find hidden patterns or groupings in the data.

* Example: Customer segmentation in marketing

=== Reinforcement Learning ===
Reinforcement learning is based on agents that learn by interacting with an environment. They receive rewards or penalties based on their actions and use this feedback to learn optimal behavior.

* Example: Training a robot to walk

=== Semi-Supervised and Self-Supervised Learning ===
These approaches use a mix of labeled and unlabeled data or generate labels from the data itself. They are useful when labeling data is costly or difficult.