The Elements of Statistical Learning

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Predicate Object
gptkbp:instance_of gptkb:book
gptkbp:bfsLayer 4
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
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
gptkbp:is_cited_in Over 100,000 times
gptkbp:is_reviewed_by gptkb:Journal_of_Machine_Learning_Research
gptkb:Journal_of_Statistical_Software
Technometrics
gptkbp:isbn 978-0387848570
gptkbp:language English
gptkbp:next_edition Second Edition
gptkbp:page_count 745
gptkbp:published_year gptkb:2001
gptkbp:publisher gptkb:Springer
gptkbp:related_to gptkb:The_Elements_of_Statistical_Learning:_Data_Mining,_Inference,_and_Prediction
gptkbp:target_audience gptkb:University
gptkb:physicist
Practitioners
gptkbp:translated_into gptkb:Japanese
gptkb:Korean
gptkb:Author
gptkb:Spanish
Chinese