Following are the different kinds of machine learning:
- Unsupervised Learning: In this kind of machine learning, we will not have labeled data. A model can recognize anomalies, relationships, and patterns in the input data.
- Supervised Learning: In this kind of machine learning, the model makes decisions or predictions according to the labeled or past data. Labeled data relates to data sets that provide labels or tags.
- Reinforcement Learning: In reinforcement learning, a model can learn according to the rewards it obtained from its past actions.