Learn in the textbookThe Framework of Machine Learning
DefinitionMachine learning (機械学習) is technology in which a computer learns patterns from large amounts of data and uses them to make predictions and decisions.
ExplanationThe method of calculation produced by learning, which works out a result from an input, is called a model (モデル). A model can also be applied to new data that was not used for learning, so it can estimate future values from past records or decide what an image shows. Sorted by how they learn, the three main methods are supervised learning, unsupervised learning, and reinforcement learning.
AnalogyIt is like a trainee forecaster who, after comparing many past weather maps, starts to get a sense of tomorrow's weather. The knack comes from a pile of real examples.
Memory hookMachine Learning is often shortened to its initials, ML.