- Home
- The Elements of Statistical Learning

- Author : Trevor Hastie
- Publsiher : Unknown
- Release : 06 August 2021
- ISBN : 9780387848846
- Pages : 745 pages
- Rating : 5/5 from 1 reviews

GET THIS BOOKThe Elements of Statistical Learning

Download or read book entitled *The Elements of Statistical Learning* by author: *Trevor Hastie* which was release on *06 August 2021* and published by *Unknown* with total page 745 pages . This book available in PDF, EPUB and Kindle Format.

- Author : Trevor Hastie,Robert Tibshirani,Jerome H. Friedman
- Publisher : Unknown
- Release Date : 2009
- Total pages : 745
- ISBN : 9780387848846

GET BOOK
**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....

- Author : Trevor Hastie,Robert Tibshirani,Jerome Friedman
- Publisher : Springer Science & Business Media
- Release Date : 2013-11-11
- Total pages : 536
- ISBN : 9780387848846

GET BOOK
**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 ...

- Author : R. Tibshirani,J. Friedman
- Publisher : Unknown
- Release Date : 2001
- Total pages : 546
- ISBN : 9780387848846

GET BOOK
**Summary :** During the past decade there has been an explosion in computation and information technology.; With it has come a vast amount 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 ...

- Author : Keith Glover
- Publisher : Createspace Independent Publishing Platform
- Release Date : 2016-12-05
- Total pages : 422
- ISBN : 9780387848846

GET BOOK
**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 ...

- Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
- Publisher : Springer Science & Business Media
- Release Date : 2013-06-24
- Total pages : 426
- ISBN : 9780387848846

GET BOOK
**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 ...

- Author : Trevor Hastie,Robert Tibshirani,Jerome H. Friedman
- Publisher : Unknown
- Release Date : 2016
- Total pages : 745
- ISBN : 9780387848846

GET BOOK
**Summary :** Read online The Elements of Statistical Learning written by Trevor Hastie,Robert Tibshirani,Jerome H. Friedman, published by which was released on 2016. Download full The Elements of Statistical Learning Books now! Available in PDF, ePub and Kindle....

- Author : Cram101 Textbook Reviews
- Publisher : Academic Internet Pub Incorporated
- Release Date : 2010-12
- Total pages : 152
- ISBN : 9780387848846

GET BOOK
**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 ....

- Author : Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
- Publisher : Springer
- Release Date : 2013-06-25
- Total pages : 426
- ISBN : 9780387848846

GET BOOK
**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 ...

- Author : Robert Rhodes
- Publisher : Createspace Independent Publishing Platform
- Release Date : 2018-05-10
- Total pages : 422
- ISBN : 9780387848846

GET BOOK
**Summary :** The book's protection is wide, from monitored studying (prediction) to without supervision studying. The many subjects include sensory systems, support vector devices, category plants and enhancing the first extensive treatment of this subject in any guide. This guide explains the important ideas in a variety of areas such as medication, ...

- Author : Vladimir Vapnik
- Publisher : Springer Science & Business Media
- Release Date : 1999-11-19
- Total pages : 314
- ISBN : 9780387848846

GET BOOK
**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 ...

- Author : Daniel Peña,Ruey S. Tsay
- Publisher : John Wiley & Sons
- Release Date : 2021-03-16
- Total pages : 560
- ISBN : 9780387848846

GET BOOK
**Summary :** Master advanced topics in the analysis of large, dynamically dependent datasets with this insightful resource Statistical Learning with Big Dependent Data delivers a comprehensive presentation of the statistical and machine learning methods useful for analyzing and forecasting large and dynamically dependent data sets. The book presents automatic procedures for modelling ...

- Author : Bradley Efron,Trevor Hastie
- Publisher : Cambridge University Press
- Release Date : 2021-06-17
- Total pages : 212
- ISBN : 9780387848846

GET BOOK
**Summary :** The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? ...

- Author : Mikhail Kanevski,Vadim Timonin,Alexi Pozdnukhov
- Publisher : CRC Press
- Release Date : 2009-06-09
- Total pages : 400
- ISBN : 9780387848846

GET BOOK
**Summary :** This book discusses machine learning algorithms, such as artificial neural networks of different architectures, statistical learning theory, and Support Vector Machines used for the classification and mapping of spatially distributed data. It presents basic geostatistical algorithms as well. The authors describe new trends in machine learning and their application to ...

- Author : Garcia Marquez, Fausto Pedro
- Publisher : IGI Global
- Release Date : 2019-10-04
- Total pages : 478
- ISBN : 9780387848846

GET BOOK
**Summary :** As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine ...

- Author : Vladimir Naumovich Vapnik,VLADIMIR AUTOR VAPNIK,Vladimir N. Vapnik
- Publisher : Wiley-Interscience
- Release Date : 1998-09-30
- Total pages : 736
- ISBN : 9780387848846

GET BOOK
**Summary :** A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. ...