The Elements of Statistical Learning

Written By Trevor Hastie
The Elements of Statistical Learning
  • Publsiher : Springer Science & Business Media
  • Release : 11 November 2013
  • ISBN : 0387216065
  • Pages : 536 pages
  • Rating : 4.5/5 from 2 reviews
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Download or read book entitled The Elements of Statistical Learning by author: Trevor Hastie which was release on 11 November 2013 and published by Springer Science & Business Media with total page 536 pages . This book available in PDF, EPUB and Kindle Format. During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.

The Elements of Statistical Learning

The Elements of Statistical Learning
  • Author : Trevor Hastie,Robert Tibshirani,Jerome Friedman
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-11-11
  • Total pages : 536
  • ISBN : 0387216065
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Summary : During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the ...

The Elements of Statistical Learning

The Elements of Statistical Learning
  • Author : Trevor Hastie,Robert Tibshirani,Jerome H. Friedman
  • Publisher : Unknown
  • Release Date : 2009
  • Total pages : 745
  • ISBN : 0387216065
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Summary : Read online The Elements of Statistical Learning written by Trevor Hastie,Robert Tibshirani,Jerome H. Friedman, published by which was released on 2009. Download full The Elements of Statistical Learning Books now! Available in PDF, ePub and Kindle....

The Elements of Statistical Learning

The Elements of Statistical Learning
  • Author : Keith Glover
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2016-12-05
  • Total pages : 422
  • ISBN : 0387216065
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Summary : The Elements of Statistical Learning features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorisation, and spectral clustering. There is also a chapter on methods for "wide'' data (p bigger than n), including multiple ...

An Introduction to Statistical Learning

An Introduction to Statistical Learning
  • Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-06-24
  • Total pages : 426
  • ISBN : 0387216065
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Summary : An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents ...

Outlines and Highlights for the Elements of Statistical Learning by Hastie Isbn

Outlines and Highlights for the Elements of Statistical Learning by Hastie  Isbn
  • Author : Cram101 Textbook Reviews
  • Publisher : Academic Internet Pub Incorporated
  • Release Date : 2010-12
  • Total pages : 152
  • ISBN : 0387216065
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Summary : Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780387848570 ....

The Nature of Statistical Learning Theory

The Nature of Statistical Learning Theory
  • Author : Vladimir Vapnik
  • Publisher : Springer Science & Business Media
  • Release Date : 1999-11-19
  • Total pages : 314
  • ISBN : 0387216065
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Summary : The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning ...

Neural Networks and Statistical Learning

Neural Networks and Statistical Learning
  • Author : Ke-Lin Du,M. N. S. Swamy
  • Publisher : Springer Nature
  • Release Date : 2019-09-12
  • Total pages : 988
  • ISBN : 0387216065
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Summary : This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical ...

The Elements of Statistics

The Elements of Statistics
  • Author : James Bernard Ramsey,H. Joseph Newton,Jane L. Harvill
  • Publisher : South-Western Pub
  • Release Date : 2002
  • Total pages : 648
  • ISBN : 0387216065
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Summary : Designed for instructors who want to stress the understanding of basic concepts and the development of "statistical intuition," this book demonstrates that statistical reasoning is everywhere and that statistical concepts are as important to students' personal lives as they are to their future professional careers. Ramsey aims to develop statistically ...

Statistical Learning Theory

Statistical Learning Theory
  • Author : Vladimir N. Vapnik,VLADIMIR AUTOR VAPNIK
  • Publisher : Wiley-Interscience
  • Release Date : 1998-09-30
  • Total pages : 736
  • ISBN : 0387216065
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Summary : Introduction: The Problem of Induction and Statistical Inference. Two Approaches to the Learning Problem. Appendix to Chapter1: Methods for Solving III-Posed Problems. Estimation of the Probability Measure and Problem of Learning. Conditions for Consistency of Empirical Risk Minimization Principle. Bounds on the Risk for Indicator Loss Functions. Appendix to Chapter 4: ...

Foundations of Statistical Learning Theory The stimulus sampling model

Foundations of Statistical Learning Theory  The stimulus sampling model
  • Author : William Kaye Estes,Patrick Suppes
  • Publisher : Unknown
  • Release Date : 1959
  • Total pages : 212
  • ISBN : 0387216065
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Summary : Read online Foundations of Statistical Learning Theory The stimulus sampling model written by William Kaye Estes,Patrick Suppes, published by which was released on 1959. Download full Foundations of Statistical Learning Theory The stimulus sampling model Books now! Available in PDF, ePub and Kindle....

Decision Tree Statistical Learning Models An Application to New Customer Scoring

Decision Tree Statistical Learning Models  An Application to New Customer Scoring
  • Author : Macià Comella Barbé
  • Publisher : Unknown
  • Release Date : 2020
  • Total pages : 212
  • ISBN : 0387216065
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Summary : The aim of this thesis is to explore, understand and apply statistical learning methods based on decision trees, specifically individual decision trees and bagging, random forests and gradient boosting methods. In order to do this, aresearch has been done and the theory behind each one of these methods understood.The ...

Elements of Statistics

Elements of Statistics
  • Author : Raghubar D. Sharma
  • Publisher : Cambridge Scholars Publishing
  • Release Date : 2019-02-01
  • Total pages : 263
  • ISBN : 0387216065
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Summary : This book represents a crucial resource for students taking a required statistics course who are intimidated by statistical symbols, formulae, and daunting equations. It will serve to prepare the reader to achieve the level of statistical literacy required not only to understand basic statistics, but also to embark on their ...

Nonparametric Set Estimation Problems in Statistical Inference and Learning

Nonparametric Set Estimation Problems in Statistical Inference and Learning
  • Author : Aarti Singh
  • Publisher : Unknown
  • Release Date : 2008
  • Total pages : 161
  • ISBN : 0387216065
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Summary : Read online Nonparametric Set Estimation Problems in Statistical Inference and Learning written by Aarti Singh, published by which was released on 2008. Download full Nonparametric Set Estimation Problems in Statistical Inference and Learning Books now! Available in PDF, ePub and Kindle....

Policy mining

Policy mining
  • Author : Bianca Zadrozny
  • Publisher : Unknown
  • Release Date : 2003
  • Total pages : 286
  • ISBN : 0387216065
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Summary : Read online Policy mining written by Bianca Zadrozny, published by which was released on 2003. Download full Policy mining Books now! Available in PDF, ePub and Kindle....

Methods of Multivariate Statistical Analysis and Their Applications

Methods of Multivariate Statistical Analysis and Their Applications
  • Author : Czesław Domański,Dorota Pekasiewicz
  • Publisher : Unknown
  • Release Date : 2007
  • Total pages : 475
  • ISBN : 0387216065
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Summary : Read online Methods of Multivariate Statistical Analysis and Their Applications written by Czesław Domański,Dorota Pekasiewicz, published by which was released on 2007. Download full Methods of Multivariate Statistical Analysis and Their Applications Books now! Available in PDF, ePub and Kindle....