How many types are available in machine learning? A. 1 B. 2 C. 3 D. 4

There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.

• Supervised learning is a type of machine learning where the model is trained on labeled data. This means that the model is given a set of data that includes both the input data and the desired output. The model then learns to map the input data to the output data. Supervised learning is often used for tasks such as classification and regression.
• Unsupervised learning is a type of machine learning where the model is not trained on labeled data. This means that the model is given a set of data that does not include the desired output. The model then learns to find patterns in the data. Unsupervised learning is often used for tasks such as clustering and dimensionality reduction.
• Reinforcement learning is a type of machine learning where the model learns to take actions in an environment in order to maximize a reward. The model is not given any labeled data, but it learns from trial and error. Reinforcement learning is often used for tasks such as playing games and controlling robots.

In addition to these three main types, there are also a number of other types of machine learning, such as semi-supervised learning, transfer learning, and active learning.