---
title: "Christopher M. Bishop Pattern Recognition and Machine Learning"
ean: "9780387310732"
brand: "Christopher M. Bishop"
category: "Medier > Bøger"
price_min: 649
price_max: 649
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9780387310732/pattern-recognition-and-machine-learning
last_checked: 2026-10-14
---

# Christopher M. Bishop Pattern Recognition and Machine Learning

EAN 9780387310732 · Mærke: Christopher M. Bishop · Kategori: Medier > Bøger

Sammenlign priser på Christopher M. Bishop Pattern Recognition and Machine Learning fra 1 forhandler. Billigste pris nu: 649 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9780387310732/pattern-recognition-and-machine-learning

## Priser
- **Billigste pris nu:** 649 kr hos Saxo DK
- **Prisspænd:** 649 kr – 649 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 649 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

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Priserne er sidst kontrolleret 2026-10-14.