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The Elements of Statistical Learning: Data Mining, Inference and Prediction (Springer Series in Statistics) (Hardcover)
by Trevor Hastie (Author), Robert Tibshirani (Author), Jerome Friedman (Author)
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During the past decade there has been an explosion in computation and information technology. With it has come a vast amount of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics.
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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