Machine learning ML types

There are several types of machine learning (ML), each with its own set of algorithms and applications. Supervised learning involves training the ML model on labeled data, while unsupervised learning involves training the model on unlabeled data. Semi-supervised learning is a hybrid approach that combines both labeled and unlabeled data. Reinforcement learning involves training the model to learn from its own actions and their consequences. Other types of ML include transfer learning, which involves transferring knowledge from one domain to another, and online learning, which involves updating the model in real-time as new data becomes available.