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. |
Lista(s) en las que aparece este ítem: Adquisiciones Maestría Gestión de lnnovación 2017-
Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | |
---|---|---|---|---|---|---|---|---|
Libro - General | Sede Cra 13 CYP | Colección General | 006.312 / P969 (Navegar estantería(Abre debajo)) | Ej. 1 | Disponible | 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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