---
product_id: 281373405
title: "- An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)"
brand: "gareth jamesdaniela wittentrevor hastierobert tibshirani"
price: "€ 139.15"
currency: EUR
in_stock: true
reviews_count: 8
url: https://www.desertcart.hr/products/281373405-an-introduction-to-statistical-learning-with-applications-in-r-springer
store_origin: HR
region: Croatia
---

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

**Brand:** gareth jamesdaniela wittentrevor hastierobert tibshirani
**Price:** € 139.15
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** - An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) by gareth jamesdaniela wittentrevor hastierobert tibshirani
- **How much does it cost?** € 139.15 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.hr](https://www.desertcart.hr/products/281373405-an-introduction-to-statistical-learning-with-applications-in-r-springer)

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- gareth jamesdaniela wittentrevor hastierobert tibshirani enthusiasts

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## Customer Reviews

### ⭐⭐⭐⭐⭐ Must read for data analysis
*by K***L on August 2, 2025*

A true book for data analytics student.

### ⭐⭐⭐⭐⭐ Best introduction book on the subject
*by B***B on October 9, 2024*

I would like to upskill data related subject included introduction to statistics. Although I reached the beginning of chapter 3 but I've read and worked through all problems and exercises. Those are valuable although there are no solutions. I let gou recap and know in and out of R. But yes, you have to effort into it.Printings are in color. Paper is in good quality. Although thee cover slightly hit and bumped down a bit on the top left, I dont mind that much as it is a hard cover which protects paper inside.I believe after finish this one, I will continue the next in the series.In short, good purchase.

### ⭐⭐⭐⭐⭐ The Most Accessible Statistics Textbook
*by M***Z on January 30, 2024*

The authors Hastie and Tibshirani are legends in the stats world, creating GAM and LASSO respectively. Their other textbook "The Elements of Statistical Learning" is geared for PhD students. This textbook is very accessible, with figures and lots of sample code. The target audience is any aspiring data scientist who can learn to code and wants to actually understand what the code/models are doing (but doesn't need to be able to derive all the original math by hand). In addition to teaching different analyses, this book does a great job on explaining key statistical analysis concepts, like bias vs variance tradeoff, k-fold cross-validation, bootstrapping, finding the right balance in model complexity for your dataset, etc. There is both an R and a Python edition. The 2nd edition includes 3 new chapters on survival analysis, multiple testing, and neural nets. There is a free Stanford MOOC that uses this text.

## Frequently Bought Together

- An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
- An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)

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*Product available on Desertcart Croatia*
*Store origin: HR*
*Last updated: 2026-03-14*