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An Introduction to Statistical Learning: The Essential Guide to Data Science

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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

by Gareth James

4.6 out of 5

Language	:	English
File size	:	23192 KB
Print length	:	622 pages

An To Statistical Learning, Fourth Edition An To Statistical Learning: With Applications In R (Springer Texts In Statistics)

In today's data-driven world, it is essential to have a solid understanding of statistical learning methods. An to Statistical Learning, Fourth Edition, by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani, is the most comprehensive and up-to-date to statistical learning available.

The book covers a wide range of topics, including supervised and unsupervised learning, linear and nonlinear models, and dimension reduction. It is written in a clear and engaging style, and it is packed with examples and exercises to help readers understand the concepts. Whether you are a beginner in the field or a seasoned professional, An to Statistical Learning is the essential guide to data science.

What's New in the Fourth Edition?

Coverage of new topics, including deep learning, Bayesian methods, and interpretable machine learning
Updated examples and exercises throughout the book
A new chapter on data ethics
A new companion website with resources for instructors and students

Praise for the Fourth Edition

"An to Statistical Learning is the gold standard for textbooks in data science. The fourth edition is even better than the previous ones, with new coverage of deep learning, Bayesian methods, and interpretable machine learning. This book is a must-have for anyone who wants to understand the fundamentals of data science." Pedro Domingos, University of Washington

"An to Statistical Learning is a comprehensive and up-to-date to statistical learning methods. The writing is clear and engaging, and the examples and exercises are helpful for understanding the concepts. This book is a valuable resource for anyone who wants to learn about data science." Trevor Hastie, Stanford University

Free Download Your Copy Today

An to Statistical Learning, Fourth Edition, is available in print and electronic formats. To Free Download your copy, please visit the following website:

https://www.springer.com/us/book/9781071614191

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

by Gareth James

4.6 out of 5