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Summary notes and examples for every chapter in the popular textbook "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman. Overview of Supervised Learning Exercise 2.
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  • Data visualization is the graphical representation of information and data.
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    6 Statistical Models, Supervised Learning and Function Approximation •2.

  • It is a valuable resource for statisticians and anyone interested in data mining in science or industry.
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  • Trevor Hastie's main research contributions have been in the field of applied nonparametric regression and classification, and he has written two books in this area: "Generalized Additive Models" (with R.
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    This book describes the important ideas in these areas in a common conceptual framework.

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  • Understanding intelligence and how to replicate it in machines is arguably one of the greatest problems in science.
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    Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical).

  • Hastie, R.
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    While the approach is statistical, the emphasis is on concepts rather than mathematics.

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    New York, NY, USA: Springer series in statistics.