The Machine Teaching concept

Machine teaching is the process of designing and providing the right examples or instructions to a machine learning system so it learns effectively. Instead of letting the system learn on its own from large amounts of data, a human carefully selects and organizes the training data to guide the machine toward desired behavior more efficiently. Think of it as a teacher choosing the best lessons to help a student learn a skill quickly and accurately. This approach can save time, improve accuracy, and make machine learning models more reliable for specific tasks.