Machine learning models are used to analyze data sets to understand relationships and to predict outcomes. Different types of machine learning algorithms are used depending on the data set and the problem to be solved. Reinforcement learning can be used to fine-tune the model’s predictions after deployment. It is important to have a deep understanding of the data to ensure the best outcome.
