What Does Learning Algorithm Mean?
A learning algorithm is a set of instructions used in machine learning that allows a computer program to imitate the way a human gets better at characterizing some types of information. The math and logic that supports a learning algorithm can update itself over time (without human intervention) as the programming becomes exposed to more data.
Learning algorithms are useful in both supervised and unsupervised machine learning, but they are each used in different ways. Supervised learning algorithms require training data to be labeled, while unsupervised learning algorithms look for patterns to characterize input.
In general, what all learning algorithms have in common is their ability to extrapolate information from training data and use what they learn to make predictions about new input.