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Machine Learning (application (optical character recognition, search…
Machine Learning
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example
speech recognition:- phonemes are used that include noise ratios, length of sounds, relative power, filter matches and many others
spam detection:- presence or absence of certain email headers, email structure, language, frequency of specific terms and grammatical correctness of text
character recognition:- histograms are used to count number of black pixels along horizontal and vertical directions, number of internal holes and stroke detection
computer vision:- there are a large number of possible features, such as edges and objects.
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introduction
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a subfield of computer science that evolved from the study of pattern recognition and
computational learning theory in artificial intelligence
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history
1980
work on symbolic/knowledge-based learning did continue within AI, leading to inductive logic programming
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1990
machine learning, reorganized as a separate field, started to flourish
1959
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probabilistic reasoning was employed, especially in automated medical diagnosis
probabilistic systems were plagued by theoretical and practical problems of data acquisition and representation