Learn in the textbookThe Framework of Machine Learning
DefinitionSupervised learning (教師あり学習) is a method that trains on pairs of input data and their correct answers (labels), so that it can give the answer for inputs it has not seen.
ExplanationAdding correct answers to training data is called annotation (アノテーション), and how the answers are attached shapes the quality of the model. The main methods are regression (回帰) and classification (分類), and the finished model is tested on data whose answers are known to measure how well it performs. One such measure is recall (再現率): of the items that really are positive (the side you want to find), the share the model also judged positive.
AnalogyIt is like practicing with a workbook that comes with answers and explanations. After checking your answers again and again, you can handle problems you have never seen.
Memory hookThe Japanese name literally means "learning with a teacher": a teacher is someone who knows the answers, and you learn with those answers beside you.