Machine learning solutions can be of three major types: supervised learning, unsupervised learning, and reinforcement learning. So how is reinforcement learning different from the other two types?
- Supervised learning: In supervised learning, the agent learns the model from a training dataset consisting of features and labels. The two most common types of supervised learning problems are regression and classification. Regression refers to predicting the future values based on the model, and classification refers to predicting the categories of the input values.
- Unsupervised learning: In unsupervised learning, the agent learns the model from a training dataset consisting of only features. The two most common types of unsupervised learning problems are dimensionality reduction and clustering. Dimensionality...
