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Tipo: materialTypeLabelLibro - General
Ubicación Física: 006.312 / P969

Data science for business : what yoy need to know about data mining and data-analytic thinking /

Autor: Provost, Foster.
Otros Autores: Fawcett, Tom, ( autor ) .
Pié de imprenta: Sebastopol : O'Reilly, 2013.
Descripción: 386 páginas ; 18 x 23 cm.
ISBN: 9781449361327.
Tema(s):
Nota de Bibliografía: Incluye bibliografía.
Contenido: Introduction: data-analytic thinking. Business problems and data science solutions. Introduction to predictive modeling: from correlation to supervised segmentation. Fitting a model to data. Overfitting and its avoidance. Similarity, neighbors, and clusters. Decision analytic thinking I: what is a good model? Visualizing model performance. Evidence and probabilities. Representing and mining text. Decision analytic thinking II: toward analytical engineering. Other data science tasks and techniques. Data science and business strategy. Conclusion.

List(s) this item appears in: Adquisiciones Maestría Gestión de lnnovación 2017-
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Item type Current location Collection Call number Copy number Status Date due Barcode
Libro - General Libro - General Biblioteca UCATOLICA
Carrera 13
Colección General 006.312 / P969 (Browse shelf) Ej. 1 Available (Acceso Libre) 59621

Incluye bibliografía

Introduction: data-analytic thinking. Business problems and data science solutions. Introduction to predictive modeling: from correlation to supervised segmentation. Fitting a model to data. Overfitting and its avoidance. Similarity, neighbors, and clusters. Decision analytic thinking I: what is a good model? Visualizing model performance. Evidence and probabilities. Representing and mining text. Decision analytic thinking II: toward analytical engineering. Other data science tasks and techniques. Data science and business strategy. Conclusion.

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