Statistical learning and data science

by Summa, Mireille Gettler

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Statistical Learning and Data Science.

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Title Statements

Full title :Statistical learning and data science / [edited by] Mireille Gettler Summa [and others].

Summary

Statistical Learning and Data Science.

Edition Statements

Publication Date:2011.

Publication Statements

Publisher(s):Chapman & Hall/CRC
Place of Publication:Boca Raton
Language:eng
Publication Date:2011.

The Physical Object

Description:1 online resource.

Edition Identifiers

ISBN:1439867631, 9781439867631, 128359627X, 9781283596275
oclc:ocn810124985
LC Classification:QA276
Dewey Decimal:519.5

Front Cover -- Contents -- Preface -- Contributors -- I. Statistical and Machine Learning -- 1. Mining on Social Networks -- 2. Large-Scale Machine Learning with Stochastic Gradient Descent -- 3. Fast Optimization Algorithms for Solving SVM+ -- 4. Conformal Predictors in Semisupervised Case -- 5. Some Properties of Infinite VC-Dimension Systems -- II. Data Science, Foundations, and Applications -- 6. Choriogenesis: the Dynamical Genesis of Space and Its Dimensions, Controlled by Correspondence Analysis -- 7. Geometric Data Analysis in a Social Science Research Program: The Case of Bourdieu's Sociology -- 8. Semantics from Narrative: State of the Art and Future Prospects -- 9. Measuring Classifier Performance: On the Incoherence of the Area under the ROC Curve and What to Do about It -- 10. A Clustering Approach to Monitor System Working: An Application to Electric Power Production -- 11. Introduction to Molecular Phylogeny -- 12. Bayesian Analysis of Structural Equation Models Using Parameter Expansion -- III. Complex Data -- 13. Clustering Trajectories of a Three-Way Longitudinal Dataset -- 14. Trees with Soft Nodes: A New Approach to the Construction of Prediction Trees from Dat…