Table 2 Comparison among Different machine learning methods
| Â | Supervised learning | Unsupervised learning | Reinforcement learning |
|---|---|---|---|
Definition | The machine learns by using labeled data | Machine training through unlabelled data without any guidance | Agents interact with their environment by performing actions and learning from errors or rewards |
Type of problems | Rgression or classification | Association or clustering | Reward-based |
Type of data | Labeled adata | Unlabeled data | No predefined data |
Training | External supervision | No supervision | No supervision |
Approach | Mapping tagged inputs to unknown outputs | Understanding patterns or finding outputs | Follow the trail-and-error method |