An Introduction to Statistical Learning

preview-18
  • An Introduction to Statistical Learning Book Detail

  • Author : Gareth James
  • Release Date : 2023-08-01
  • Publisher : Springer Nature
  • Genre : Mathematics
  • Pages : 617
  • ISBN 13 : 3031387473
  • File Size : 74,74 MB

An Introduction to Statistical Learning by Gareth James PDF Summary

Book Description: 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, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

Disclaimer: www.yourbookbest.com does not own An Introduction to Statistical Learning books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

An Introduction to Statistical Learning

An Introduction to Statistical Learning

File Size : 77,77 MB
Total View : 8688 Views
DOWNLOAD

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast

Statistical Learning with Sparsity

Statistical Learning with Sparsity

File Size : 81,81 MB
Total View : 812 Views
DOWNLOAD

Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is

The Elements of Statistical Learning

The Elements of Statistical Learning

File Size : 54,54 MB
Total View : 1499 Views
DOWNLOAD

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

Computer Age Statistical Inference

Computer Age Statistical Inference

File Size : 56,56 MB
Total View : 3886 Views
DOWNLOAD

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine