ML Training Types

There are three main types of training that can be used to train a machine learning model: supervised learning, unsupervised learning, and reinforcement learning.

Supervised Learning

Supervised learning is a type of machine learning where the model is trained on labeled data. The labeled data is data that has been labeled with the correct answer. The model is trained to learn the relationship between the input data and the output data.

Unsupervised Learning

Unsupervised learning is a type of machine learning where the model is trained on unlabeled data. The unlabeled data is data that has not been labeled with the correct answer. The model is trained to learn the relationship between the input data and the output data.

Reinforcement Learning

Reinforcement learning is a type of machine learning where the model is trained on a reward system. The model is trained to learn the relationship between the input data and the output data. The model is trained to learn the relationship between the input data and the output data.