---
title: "Steven W. Knox Machine Learning"
ean: "9781394325252"
brand: "Steven W. Knox"
category: "Medier > Bøger"
price_min: 679
price_max: 679
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9781394325252/machine-learning
last_checked: 2026-10-14
---

# Steven W. Knox Machine Learning

EAN 9781394325252 · Mærke: Steven W. Knox · Kategori: Medier > Bøger

Sammenlign priser på Steven W. Knox Machine Learning fra 1 forhandler. Billigste pris nu: 679 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781394325252/machine-learning

## Priser
- **Billigste pris nu:** 679 kr hos Saxo DK
- **Prisspænd:** 679 kr – 679 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 679 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> New edition of a PROSE award finalist title on core concepts for machine learning, updated with the latest developments in the field, now with Python and R source code side-by-side Machine Learning is a comprehensive text on the core concepts, approaches, and applications of machine learning. It presents fundamental ideas, terminology, and techniques for solving applied problems in classification, regression, clustering, density estimation, and dimension reduction. New content for this edition includes chapter expansions which provide further computational and algorithmic insights to improve reader understanding. This edition also revises several chapters to account for developments since the prior edition. In this book, the design principles behind the techniques are emphasized, including the bias-variance trade-off and its influence on the design of ensemble methods, enabling readers to solve applied problems more efficiently and effectively. This book also includes methods for optimization, risk estimation, model selection, and dealing with biased data samples and software limitations — essential elements of most applied projects. Written by an expert in the field, this important resource: Illustrates many classification methods with a single, running example, highlighting similarities and differences between methods Presents side-by-side Python and R source code which shows how to apply and interpret many of the techniques covered Includes many thoughtful exercises as an integral part of the text, with an appendix of selected solutions Contains useful information for effectively communicating with clients on both technical and ethical topics Details classification techniques including likelihood methods, prototype methods, neural networks, classification trees, and support vector machines A volume in the popular Wiley Series in Probability and Statistics, Machine Learning offers the practical information needed for an understanding of the methods and application of machine learning for advanced undergraduate and beginner graduate students, data science and machine learning practitioners, and other technical professionals in adjacent fields.

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Priserne er sidst kontrolleret 2026-10-14.