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Machine Learning

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Part of the book series: International Series in Quantitative Marketing ((ISQM,volume 18))

Abstract

Traditionally there have been two paradigms of statistical analysis — classical and Bayesian. Machine learning is essentially a third paradigm, based on algorithms that rely heavily on the speed of modern computing to derive “decision rules” that predict customer behavior. We discuss several machine learning techniques, including covering algorithms, instance-based learning, genetic algorithms, Bayesian networks, support vector machines, and committee machine methods such as bagging and boosting.

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© 2008 Springer Science+Business Media, LLC

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Blattberg, R.C., Kim, BD., Neslin, S.A. (2008). Machine Learning. In: Database Marketing. International Series in Quantitative Marketing, vol 18. Springer, New York, NY. https://doi.org/10.1007/978-0-387-72579-6_19

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