Training data is a set of data used to teach a machine learning model to make predictions or perform a specific task. It includes input and output data that the model uses to learn patterns and relationships in the data. The model adjusts its parameters during the training process to minimize errors between its predictions and the actual output to achieve good performance on the task for new, unseen data.