Machine learning
Machine learning is an area of artificial intelligence concerned with the development of techniques which allow computers to "learn". More specifically, machine learning is a method for creating computer programs by the analysis of data sets. Machine learning overlaps heavily with statistics, since both fields study the analysis of data, but unlike statistics, machine learning is concerned with the algorithmic complexity of computational implementations. Many inference problems turn out to be NP-hard, so part of machine learning research is the development of tractable approximate inference algorithms.
Related Topics:
Artificial intelligence - Statistics - NP-hard
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Machine learning has a wide spectrum of applications including search engines, medical diagnosis, detecting credit card fraud, stock market analysis, classifying DNA sequences, speech and handwriting recognition, game playing and robot locomotion.
Related Topics:
Search engines - Medical diagnosis - Credit card fraud - Stock market - DNA sequence - Speech - Handwriting - Game playing - Robot locomotion
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~ Table of Content ~
| ► | Introduction |
| ► | Human interaction |
| ► | Algorithm types |
| ► | Machine learning topics |
| ► | See also |
| ► | Bibliography |
| ► | External links |
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