Machine learning training is the process of feeding a large dataset to an algorithm, allowing it to "learn" and identify patterns. This training enables the AI model to make predictions or decisions on new, unseen data, like recognizing faces or suggesting movies. It's akin to teaching a computer to think by providing it with lots of examples. Crucially, the quality and quantity of the training data directly affect the accuracy and performance of the final machine learning model, making data management an essential part of the process.