Applied Predictive Modeling
Recommended by Kirk Borne, and 1 others. See all reviewsRanked #10 in Data Mining, Ranked #15 in Biostatistics — see more rankings.
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 techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a... more
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Kirk Borne Find more than 40 useful #PredictiveModeling articles here at @DataScienceCtrl https://t.co/KdcvLRffRk #abdsc ———— #BigData #DataScience #AI #MachineLearning #Forecasting #Statistics #PredictiveAnalytics ——— +This is the best book on the subject: https://t.co/SmsepmniHi https://t.co/amBJHCJSHN (Source)
Rankings by Category
Applied Predictive Modeling is ranked in the following categories:
- #28 in Data Science
- #25 in Machine Learning
- #35 in Statistics
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