An introduction to statistical learning used

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Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. by Gareth James, Daniela Witten, Trevor Hastie. Color graphics and real-world examples are used to illustrate the methods presented. An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) (1st Edition). The main goal of statistical learning theory is to provide a.

#An introduction to statistical learning used archive

Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. This tutorial intro- duces the techniques that are used to obtain such results. an-introduction-to-statistical-learning Identifier-ark ark:/13960/t6d320099 Ocr tesseract 4.1.1 Ocrautonomous true Ocrdetectedlang en Ocrdetectedlangconf 1.0000 Ocrdetectedscript Latin Ocrdetectedscriptconf 0.9994 Ocrmoduleversion 0.0.10 Ocrparameters-l eng+Latin Pagenumberconfidence 96.59 Ppi 300 Scanner Internet Archive HTML5. This is studied in a statistical framework, that is. 1 Introduction The main goal of statistical learning theory is to provide a framework for study-ing the problem of inference, that is of gaining knowledge, making predictions, making decisions or constructing models from a set of data. This book presents some of the most important modeling and prediction techniques, along with relevant applications. duces the techniques that are used to obtain such results. 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 is appropriate for anyone who wishes to use contemporary tools for data analysis.

Color graphics and real-world examples are used to illustrate the methods. An Introduction to Statistical Learning provides a broad and less technical treatment of key topics in statistical learning.

#An introduction to statistical learning used download

Read Online and Download An Introduction to Statistical Learning: With Applications in R. An Introduction to Statistical Learning provides an accessible overview of. An Introduction to Statistical Learning: With Applications in R BY Gareth James An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience.