Core Machine Learning Topics

Machine Learning

機械きかい学習がくしゅう

Machine learning is a branch of artificial intelligence in which a model learns patterns or behavior from training data. Major approaches include supervised learning, unsupervised learning, and reinforcement learning.

Japanese terms

Machine learning — 機械きかい学習がくしゅう: A field of AI in which systems learn patterns or behavior from data and experience.
Artificial intelligence — 人工知能じんこうちのう: The field concerned with building machines that perform tasks associated with human intelligence.
Model — モデル: A mathematical representation that processes input data to produce predictions, classifications, or decisions.
Training data — 訓練くんれんデータ: Examples used to fit a model’s parameters or learned behavior.

Data and datasets provide the examples from which models learn, while training, validation, and testing measures whether that learning generalizes.