3 Categories of Machine Learning
- Supervised learning: It has a set of labelled data to train the model on. In a way, it means supervising a machine by providing a ton of information about a particular case and giving it the case outcome.
- Unsupervised learning: Unsupervised learning relies on giving the machine or algorithm unlabeled data and allowing it to identify the pattern on its own.
- Reinforcement learning: It depends on ML algorithms with a set of rules and let it learn on its own on how to achieve the goals.
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