The Elements of Statistical Learning
GPTKB entity
Statements (53)
Predicate | Object |
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gptkbp:instance_of |
gptkb:book
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gptkbp:bfsLayer |
4
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gptkbp:bfsParent |
gptkb:Chapman_&_Hall
gptkb:Andrew_Ang gptkb:Trevor_Hastie |
gptkbp:author |
gptkb:Jerome_Friedman
gptkb:Robert_Tibshirani gptkb:Trevor_Hastie |
gptkbp:body_style |
Appendix A: Overview of Supervised Learning
Appendix B: Overview of Unsupervised Learning Appendix C: Overview of Model Assessment Appendix D: Overview of Ensemble Learning Appendix E: Overview of Neural Networks Appendix F: Overview of Support Vector Machines Appendix G: Overview of Tree-Based Methods Appendix H: Overview of Boosting and Bagging Appendix I: Overview of Clustering Methods Appendix J: Overview of Dimensionality Reduction |
gptkbp:contains |
Case studies
Exercises Practical applications Theoretical concepts |
gptkbp:field |
gptkb:software_framework
Statistics |
gptkbp:focus |
Machine learning algorithms
Predictive modeling Statistical methods for data mining |
https://www.w3.org/2000/01/rdf-schema#label |
The Elements of Statistical Learning
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gptkbp:influenced_by |
gptkb:Pattern_Recognition_and_Machine_Learning
An Introduction to Statistical Learning The Art of Statistics |
gptkbp:is_available_in |
Print format
E-book format |
gptkbp:is_available_on |
Free PDF online
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gptkbp:is_cited_in |
Over 100,000 times
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gptkbp:is_reviewed_by |
gptkb:Journal_of_Machine_Learning_Research
gptkb:Journal_of_Statistical_Software Technometrics |
gptkbp:isbn |
978-0387848570
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gptkbp:language |
English
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gptkbp:next_edition |
Second Edition
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gptkbp:page_count |
745
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gptkbp:published_year |
gptkb:2001
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gptkbp:publisher |
gptkb:Springer
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gptkbp:related_to |
gptkb:The_Elements_of_Statistical_Learning:_Data_Mining,_Inference,_and_Prediction
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gptkbp:target_audience |
gptkb:University
gptkb:physicist Practitioners |
gptkbp:translated_into |
gptkb:Japanese
gptkb:Korean gptkb:Author gptkb:Spanish Chinese |