Information Theory, Inference and Learning Algorithms [1st ed.] 9780521642989, 0521642981

Information theory, inference, and learning algorithms [1st ed.] 9780521642989, 0521642981

Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics li

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Information Theory, Inference and Learning Algorithms

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Information, inference, learning algorithms (ps) [draft ed.]

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Information, inference, learning algorithms (TeX source) [draft ed.]

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Elements of Causal Inference: Foundations and Learning Algorithms 9780262344296, 9780262037310, 0262344297

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learni

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Learning Kernel Classifiers: Theory and Algorithms 026208306X, 9780585436685, 9780262083065

Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel techn

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Learning kernel classifiers: theory and algorithms 9780262083065, 026208306X

Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel techn

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Understanding Machine Learning: From Theory To Algorithms 1107057132, 9781107057135

Reading books is a kind of enjoyment. Reading books is a good habit. We bring you a different kinds of books. You can ca

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Inference and Learning from Data: Volume 2 (II): Inference [1 ed.] 1009218263, 9781009218269

This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provi

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Theory and Algorithms for Information Extraction and Classification in Textual Data Mining

Regular expressions can be used as patterns to extract features from semi-structured and narrative text [8]. For example

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