supervision training

Supervised training is a method used in machine learning where a computer model learns from examples that include both input data and the correct answers. Think of it like a student learning with a teacher: the teacher provides questions and answers, helping the student understand how to arrive at the correct solutions. Over time, as the model sees more examples, it learns patterns and improves its ability to make predictions or decisions on new, unseen data. This approach is commonly used in various applications, including image recognition, language processing, and recommendation systems.