Books for statistical learning and data mining

Discover the best books for statistical learning and data mining in this curated guide—featuring essential reads on machine learning, predictive analytics, and data science. Perfect for students and professionals, this list highlights key authors and foundational texts to master modern data mining techniques and statistical modeling.

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Exploratory data analysis, John W. Tukey Cover
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Exploratory data analysis, John W. Tukey

 

No summary available.
Pattern recognition and neural networks Cover
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Pattern recognition and neural networks

 

No summary available.
Machine learning Cover
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Machine learning

 

No summary available.
Self-organizing maps Cover
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Self-organizing maps

 

No summary available.
Pattern classification Cover
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Pattern classification

 

No summary available.
Spline models for observational data Cover
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Spline models for observational data

 

No summary available.
Introduction to statistical pattern recognition Cover
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Introduction to statistical pattern recognition

 

No summary available.
Classification and regression trees Cover
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Classification and regression trees

 

No summary available.
Neural networks for pattern recognition Cover
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Neural networks for pattern recognition

 

No summary available.
Learning with kernels Cover
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Learning with kernels

 

No summary available.
Linear models and generalizations Cover
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Linear models and generalizations

 

No summary available.
Learning in graphical models Cover
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Learning in graphical models

 

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Predictive inference Cover
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Predictive inference

 

No summary available.
Multidimensional scaling Cover
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Multidimensional scaling

 

No summary available.
Modern Multidimensional Scaling Cover
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Modern Multidimensional Scaling

 

No summary available.