
Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines.
Page Count:
533
Publication Date:
2001-01-01
ISBN-10:
0387952845
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