In data science, machine learning is most commonly used to mean construction and study of algorithms that can learn from data. The term is often used synonymously with the modeling stage the data mining process. Machine Learning is the field of scientific study that concentrates on induction algorithms and on other algorithms that can be said to learn. An induction algorithm takes as input specific instances and produces a model that generalizes beyond these instances. Machine learning tasks are typically classified into three broad categories: supervised learning, unsupervised learning and reinforcement learning.
Related Terms: Data mining
from Provost and Fawcett (2013); Kovahi, R. and F. Provost (1998). "Glossary of terms". Machine Learning 30: 271–274.