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A5: Machine Learning
Machine Learning deals with building computer systems that optimise performance
criteria using previous data or experience. A situation where learning is required is
when there is no human experience or it is not easily explained. Another is when the
problem to be solved changes over time or depends on a particular environment.
Machine Learning transforms data into knowledge and provides general purpose
systems that adapt to circumstances. Among the many successful applications that
can be cited are: speech recognition or handwritten text, autonomous robot
navigation, document information retrieval, cooperative filtering, diagnostic systems,
DNA microarrays analysis, etc.
This module presents several methods based on different fields such as Statistics,
Pattern Recognition, Artificial Intelligence and Data Mining. The aim is to know these
methods from a unified perspective, noting which problems can be solved, as well as
the limitations and circumstances of using each one of them.