---
product_id: 557758097
title: "- An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)"
price: "€ 238.73"
currency: EUR
in_stock: true
reviews_count: 13
url: https://www.desertcart.es/products/557758097-an-introduction-to-statistical-learning-with-applications-in-python-springer
store_origin: ES
region: Spain
---

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

**Price:** € 238.73
**Availability:** ✅ In Stock

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- **What is this?** - An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
- **How much does it cost?** € 238.73 with free shipping
- **Is it available?** Yes, in stock and ready to ship
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## Description

desertcart.com: An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics): 9783031387463: James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert, Taylor, Jonathan: Books

Review: An Authoritative Text Updated - I've studied the ESL and ISLR since they've been published; I've used ISLR as a text to teach graduate level courses and also as my guide to design a course called "Mathematics for Data Scientists" for a Master's program of a well-known University in Chicago. There's not much to say about the older editions (the precursors to this one) other that 'excellent'. About this new edition, ISLP: (1) The new chapters were wisely chosen to reflect current practice, e.g., Neural Networks. Also, the updates on older chapters is very well-done, keeping with newer terminology and better explanations; (2) The introduction of Python is, of course, a very welcome update, indeed. I have one negative comment, which has nothing to do with the content (hence my five-star review), but rather with the book binding itself. This is only relevant to the PAPERBACK edition, not the regular hardcover. It falls apart easily. After only a couple of months of use, pages are coming right off. This is very disappointing for a serious printing house like Springer. I've owned and used paperbacks of similar size heavily and for years and they are fine. With all due respect to Springer, but i feel they did a disservice to the authors and the community. All in all, highly recommended, but maybe avoid the paperback edition.
Review: Great intro to the stats behind ML - Okay, so the Python code is dated and not well explained, but it is the bible for statistics of machine learning for programmers

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #24,984 in Books ( See Top 100 in Books ) #1 in Mathematical & Statistical Software #16 in Probability & Statistics (Books) #26 in Computer Science (Books) |
| Customer Reviews | 4.4 4.4 out of 5 stars (122) |
| Dimensions  | 7.17 x 1.65 x 10.08 inches |
| Edition  | 2023rd |
| ISBN-10  | 3031387465 |
| ISBN-13  | 978-3031387463 |
| Item Weight  | 3.6 pounds |
| Language  | English |
| Part of series  | Springer Texts in Statistics |
| Print length  | 622 pages |
| Publication date  | July 1, 2023 |
| Publisher  | Springer |

## Images

![- An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics) - Image 1](https://m.media-amazon.com/images/I/61PzzBEMelL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ An Authoritative Text Updated
*by M***S on December 28, 2024*

I've studied the ESL and ISLR since they've been published; I've used ISLR as a text to teach graduate level courses and also as my guide to design a course called "Mathematics for Data Scientists" for a Master's program of a well-known University in Chicago. There's not much to say about the older editions (the precursors to this one) other that 'excellent'. About this new edition, ISLP: (1) The new chapters were wisely chosen to reflect current practice, e.g., Neural Networks. Also, the updates on older chapters is very well-done, keeping with newer terminology and better explanations; (2) The introduction of Python is, of course, a very welcome update, indeed. I have one negative comment, which has nothing to do with the content (hence my five-star review), but rather with the book binding itself. This is only relevant to the PAPERBACK edition, not the regular hardcover. It falls apart easily. After only a couple of months of use, pages are coming right off. This is very disappointing for a serious printing house like Springer. I've owned and used paperbacks of similar size heavily and for years and they are fine. With all due respect to Springer, but i feel they did a disservice to the authors and the community. All in all, highly recommended, but maybe avoid the paperback edition.

### ⭐⭐⭐⭐⭐ Great intro to the stats behind ML
*by D***E on February 22, 2025*

Okay, so the Python code is dated and not well explained, but it is the bible for statistics of machine learning for programmers

### ⭐⭐⭐⭐⭐ Comprehensive introduction to the subject
*by E***E on July 13, 2025*

I bought this to supplement a graduate class on the subject and very happy that I did. The content builds on itself very well, the visualizations are great and easy to read, and it goes just deep enough without it being overwhelming. It's very self contained too, I didn't feel like I had to reach for outside resources to understand a concept it was presenting. It has served as a great reference book too when needing a quick refresh on a topic.

## Frequently Bought Together

- An Introduction to Statistical Learning: with Applications in Python (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 Spain*
*Store origin: ES*
*Last updated: 2026-05-20*