Machine Learning is categorized into three main types:
- Supervised Learning: Trains on labeled data to make predictions or classifications, like predicting house prices.
- Unsupervised Learning: Works with unlabeled data to find patterns or groupings, such as clustering customers by behavior.
- Reinforcement Learning: An agent learns through interactions with its environment, aiming to maximize rewards, commonly used in robotics and gaming.
Each type is suited to different tasks, making it essential to choose the right approach based on the problem.