Machine learning encompasses a variety of techniques and methods. Here are some common types of machine learning:
Supervised Learning: This is where the model is trained on labeled data. The goal is to learn a mapping from input to output.
Unsupervised Learning: Here, the model is trained on unlabeled data. The goal is to discover patterns and relationships in the data.
Reinforcement Learning: This is a type of learning where an agent learns to make decisions by taking actions in an environment to maximize some notion of cumulative reward.
Deep Learning: This is a subset of machine learning that uses neural networks with many layers to learn complex patterns in data.
For more information on machine learning types, you can read our detailed Machine Learning Types Guide.