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Machine learning is an area of artificial intelligence involving developing
techniques to allow computers to "learn". More specifically, machine
learning is a method for creating computer programs by the analysis of data
sets, rather than the intuition of engineers.
Machine learning algorithms are organized into a taxonomy, based on the
desired outcome of the algorithm. Common algorithm types include:
* supervised learning --- where the algorithm generates a function that
maps inputs to desired outputs.
* unsupervised learning --- where the algorithm generates a model for a
set of inputs.
* reinforcement learning --- where the algorithm learns a policy of how
to act given an observation of the world.
* learning to learn --- where the algorithm learns its own inductive bias
based on previous experience.
The analysis of machine learning algorithms is a branch of statistics known
as learning theory.