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Trevor Hastie

- Auteur

An Introduction to Statistical Learning
Gareth James
€ 120,99
Computer Age Statistical Inference
Bradley University
€ 76,73
Elements of Statistical Learning
Trevor Hastie
€ 90,99
Computational Methods of Feature Selection
Wei Tang
€ 185,82
Statistical Learning with Sparsity
Trevor (Stanford University, California, USA) Hastie
€ 57,85

Boeken van Trevor Hastie

Gareth James Daniela Witten Trevor Hastie Robert Tibshirani Jonathan Taylor
An Introduction to Statistical Learning
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This book presents some of the most important modeling and prediction techniques, along with relevant applications. Meer
Bradley University Bradley Efron Trevor University Trevor Hastie
Computer Age Statistical Inference
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The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', '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. Meer
Trevor Hastie Robert Tibshirani Jerome Friedman
Elements of Statistical Learning
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This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world. Meer
Wei Tang Huan Liu Hiroshi Motoda Vipin Kumar Emanuele Olivetti Susana Eyheramendy George Forman Eugene Tuv Masoud Makrehchi Carlotta Domeniconi Yijun Sun Rezarta Islamaj Dogan Isabelle Guyon Lei Yu Jennifer G. Dy Diana Chan Claudia Diamantini Joshua Z. Huang Marko Robnik-Sikonja Igor Kononenko David Stracuzzi Roberto Ruiz David Madigan Michael Ng Shi Zhong Hui Zou Mohamed S. Kamel Xu Jun Lise Getoor Trevor Hastie Constantin Aliferis Kari Torkkola Susan Bridges Paolo Avesani Yunming Ye Domenico Potena Alexander Borisov Jesus Aguilar-Ruiz Sriharsha Veeramachaneni Jose C. Riquelme Shane Burgess W. John Wilbur
Computational Methods of Feature Selection
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Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. Meer
Trevor (Stanford University, California, USA) Hastie Trevor Hastie Robert (Stanford University, California, USA) Tibshirani Robert Tibshirani Martin (Department of Statistics, University of California, Berkeley) Wainwright Martin Wainwright
Statistical Learning with Sparsity
0 beoordelingen
Discover New Methods for Dealing with High-Dimensional Data

A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Meer
Alles van Trevor Hastie

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