---
product_id: 462809386
title: "An Introduction to Statistical Learning: With Applications in R"
brand: "gareth jamesdaniela wittentrevor hastierobert tibshirani"
price: "131106CFA"
currency: XOF
in_stock: true
reviews_count: 5
url: https://www.desertcart.sn/products/462809386-an-introduction-to-statistical-learning-with-applications-in-r
store_origin: SN
region: Senegal
---

# An Introduction to Statistical Learning: With Applications in R

**Brand:** gareth jamesdaniela wittentrevor hastierobert tibshirani
**Price:** 131106CFA
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** An Introduction to Statistical Learning: With Applications in R by gareth jamesdaniela wittentrevor hastierobert tibshirani
- **How much does it cost?** 131106CFA with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.sn](https://www.desertcart.sn/products/462809386-an-introduction-to-statistical-learning-with-applications-in-r)

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- gareth jamesdaniela wittentrevor hastierobert tibshirani enthusiasts

## Why This Product

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## Description

An Introduction to Statistical Learning: With Applications in R

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #116,480 in Books ( See Top 100 in Books ) #8 in Mathematical & Statistical Software #43 in Probability & Statistics (Books) #194 in Artificial Intelligence & Semantics |
| Customer Reviews | 4.7 out of 5 stars 445 Reviews |

## Images

![An Introduction to Statistical Learning: With Applications in R - Image 1](https://m.media-amazon.com/images/I/61YuCWZkUcL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ 







  
  
    The Most Accessible Statistics Textbook
  

*by M***Z on Reviewed in the United States on 30 January 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.

### ⭐⭐⭐⭐⭐ 







  
    Ótimo livro introdutório
  
  

*by L***S on Reviewed in Brazil on 12 June 2023*

Excelente livro introdutório para o aprendizado estatístico. Redefine muito bem conceitos estatísticos tradicionais sob um olhar mais atual no contexto do aprendizado de máquina. Exemplos na linguagem R, o que é ótimo para os alunos "meterem a mão na massa". Uma referência essencial para estatísticos e cientistas de dados.

### ⭐⭐⭐⭐⭐ 







  
  
    Good Quality
  

*by D***A on Reviewed in Canada on 25 February 2023*

I like a lot the decision tree with codes

## 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)
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

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*Product available on Desertcart Senegal*
*Store origin: SN*
*Last updated: 2026-05-21*