A machine learning approach in which a model is trained on pairs of input data and correct labels (training data), enabling it to predict or classify new, unseen data. It is widely used in voice recognition, image classification, and text categorization. Collecting and preparing labeled training data is a key prerequisite, and the method is distinct from unsupervised learning and reinforcement learning.

Past questions testing this term · 1 questions

• 2022r04 #24教師あり学習の事例に関する記述として，最も適切なものはどれか。