Data training in machine learning is the process of teaching a model to recognize patterns and make predictions using large sets of data. During training, the model analyzes input data and adjusts its internal parameters to minimize errors and improve accuracy. This process involves feeding the model labeled examples (known outcomes) so it can learn the relationship between input feat... https://www.skillonit.com/machine-learning-vs-artificial-intelligence