---
title: "Juan Pablo Pardo-Guerra The Oxford Handbook of the Sociology of Machine Learning"
ean: "9780197653609"
brand: "Juan Pablo Pardo-Guerra"
category: "Medier > Bøger"
price_min: 1439
price_max: 1439
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9780197653609/the-oxford-handbook-of-the-sociology-of-machine-learning
last_checked: 2026-10-21
---

# Juan Pablo Pardo-Guerra The Oxford Handbook of the Sociology of Machine Learning

EAN 9780197653609 · Mærke: Juan Pablo Pardo-Guerra · Kategori: Medier > Bøger

Sammenlign priser på Juan Pablo Pardo-Guerra The Oxford Handbook of the Sociology of Machine Learning fra 1 forhandler. Billigste pris nu: 1.439 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9780197653609/the-oxford-handbook-of-the-sociology-of-machine-learning

## Priser
- **Billigste pris nu:** 1.439 kr hos Saxo DK
- **Prisspænd:** 1.439 kr – 1.439 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 1.439 kr | 1-4 hverdage |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> Machine learning, renowned for its ability to detect patterns in large datasets, has seen a significant increase in applications and complexity since the early 2000s. The Oxford Handbook of the Sociology of Machine Learning offers a state-of-the-art and forward-looking overview of the intersection between machine learning and sociology, exploring what sociology can gain from machine learning and how it can shed new light on the societal implications of this technology. Through its 39 chapters, an international group of sociologists address three key questions. First, what can sociologists yield from using machine learning as a methodological tool? This question is examined across various data types, including text, images, and sound, with insights into how machine learning and ethnography can be combined. Second, how is machine learning being used throughout society, and what are its consequences? The Handbook explores this question by examining the assumptions and infrastructures behind machine learning applications, as well as the biases they might perpetuate. Themes include art, cities, expertise, financial markets, gender, race, intersectionality, law enforcement, medicine, and the environment, covering contexts across the Global South and Global North. Third, what does machine learning mean for sociological theory and theorizing? Chapters examine this question through discussions on agency, culture, human-machine interaction, influence, meaning, power dynamics, prediction, and postcolonial perspectives. The Oxford Handbook of the Sociology of Machine Learning is an essential resource for academics and students interested in artificial intelligence, computational social science, and the role and implications of machine learning in society.

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