Category: Machine learning

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Towards Proximity Pattern Mining in Large Graphs

Stanford Machine Learning notes(Lec 1)

Problem definition:
Arther Samuel(1959)
Machine learning problem:field of study that gives computers the ability to learn without being explicitly programmed.
Tom Mitchell(1998)
Well-posed Machine Learning: A computer program is said to learn from experience E with respect to some task T and some performance measure P, if it's performance on T, as measured by P, improves with experience E.

Example: Samuel let the computer to learn how to play chess by playing chess against itself and it finally played much better than Samuel himself.

Four main parts of this course:
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