---
title: "Daniela Witten, Gareth James, Jonathan Taylor, Robert Tibshirani og An Introduction to Statistical Learning (4, 2024) | Jonathan Taylor,Gareth James,Robert Tibshirani,Trevor Hastie,Daniela Witten"
ean: "9783031391897"
brand: "Daniela Witten, Gareth James, Jonathan Taylor, Robert Tibshirani og"
category: "Medier > Bøger"
price_min: 624
price_max: 624
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9783031391897/an-introduction-to-statistical-learning-4-2024-jonathan-taylorgareth
last_checked: 2026-10-15
---

# Daniela Witten, Gareth James, Jonathan Taylor, Robert Tibshirani og An Introduction to Statistical Learning (4, 2024) | Jonathan Taylor,Gareth James,Robert Tibshirani,Trevor Hastie,Daniela Witten

EAN 9783031391897 · Mærke: Daniela Witten, Gareth James, Jonathan Taylor, Robert Tibshirani og · Kategori: Medier > Bøger

Sammenlign priser på Daniela Witten, Gareth James, Jonathan Taylor, Robert Tibshirani og An Introduction to Statistical Learning (4, 2024) | Jonathan Taylor,Gareth James,Robert Tibshirani,Trevor Hastie,Daniela Witten fra 1 forhandler. Billigste pris nu: 624 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9783031391897/an-introduction-to-statistical-learning-4-2024-jonathan-taylorgareth

## Priser
- **Billigste pris nu:** 624 kr hos Saxo DK
- **Prisspænd:** 624 kr – 624 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 624 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> 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.

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Priserne er sidst kontrolleret 2026-10-15.