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Detalles bibliogr�ficos

T�tulo: Applied Predictive Modeling

Editorial: Springer

A�o de publicaci�n: 2019

Encuadernaci�n: Encuadernaci�n de tapa blanda

Condici�n: good

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"This strong, technical, hands-on treatment clearly spells out the concepts, and illustrates its themes tangibly with the language R, the most popular open source analytics solution." (Eric Siegel, Ph.D. Founder, Predictive Analytics World, Author, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die)

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