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Applied Predictive Modeling
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Max Kuhn |
This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the… |
OL19827364W |
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Bayesian Networks in R
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Radhakrishnan Nagarajan |
Bayesian Networks in R with Applications in Systems Biology introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source … |
OL19830073W |
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Economic Modeling Using Artificial Intelligence Methods
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Tshilidzi Marwala |
Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the li… |
OL19844836W |
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Fast Compact Algorithms and Software for Spline Smoothing
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Howard L. Weinert |
<i>Fast Compact Algorithms and Software for Spline Smoothing</i> investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically b… |
OL19849505W |
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An Introduction to Statistical Learning
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Gareth James |
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged… |
OL19859252W |