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Features Explains how data mining algorithms work. Helps you select appropriate approaches to particular problems and to compare and evaluate the results of different techniques. Covers performance improvement techniques, including input preprocessi
The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist ni
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Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the pas
