|
gptkbp:instance_of
|
gptkb:book
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:The_Elements_of_Statistical_Learning
|
|
gptkbp:author
|
gptkb:Jerome_Friedman
gptkb:Robert_Tibshirani
gptkb:Trevor_Hastie
|
|
gptkbp:available_formats
|
gptkb:PDF
gptkb:book
Hardcover
|
|
gptkbp:field
|
gptkb:physicist
Predictive Modeling
Statistical Learning
|
|
gptkbp:focus
|
Machine Learning Algorithms
Statistical Methods
Data Analysis Techniques
|
|
gptkbp:influenced_by
|
gptkb:Support_Vector_Machines
gptkb:microprocessor
gptkb:Random_Forests
gptkb:Pattern_Recognition_and_Machine_Learning
gptkb:Deep_Learning
gptkb:The_Elements_of_Statistical_Learning
gptkb:Machine_Learning:_A_Probabilistic_Perspective
gptkb:Bayesian_Data_Analysis
Ensemble Methods
Statistical Learning Theory
Clustering Techniques
Generalized Additive Models
Dimensionality Reduction Techniques
Statistical Decision Theory
The Art of Statistics
|
|
gptkbp:is_cited_in
|
gptkb:Google_Scholar
gptkb:Research_Gate
gptkb:Springer_Link
|
|
gptkbp:is_reviewed_by
|
gptkb:Journal_of_the_American_Statistical_Association
Technometrics
Statistical Science
|
|
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
|
An Introduction to Statistical Learning
Applied Predictive Modeling
The Elements of Statistical Learning: Data Mining, Inference, and Prediction -Exercises and Solutions
|
|
gptkbp:subject
|
gptkb:software_framework
Data Mining
Statistics
|
|
gptkbp:target_audience
|
gptkb:University
gptkb:physicist
Practitioners
|