Machine Learners: Archaeology of a Data Practice

Author:   Adrian Mackenzie (Professor, Lancaster University)
Publisher:   MIT Press Ltd
ISBN:  

9780262537865


Pages:   272
Publication Date:   08 December 2017
Format:   Paperback
Availability:   To order   Availability explained
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Machine Learners: Archaeology of a Data Practice


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Overview

If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought?Machine learning-programming computers to learn from data-has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking. Mackenzie focuses on machine learners-either humans and machines or human-machine relations-situated among settings, data, and devices. The settings range from fMRI to Facebook; the data anything from cat images to DNA sequences; the devices include neural networks, support vector machines, and decision trees. He examines specific learning algorithms-writing code and writing about code-and develops an archaeology of operations that, following Foucault, views machine learning as a form of knowledge production and a strategy of power. Exploring layers of abstraction, data infrastructures, coding practices, diagrams, mathematical formalisms, and the social organization of machine learning, Mackenzie traces the mostly invisible architecture of one of the central zones of contemporary technological cultures. Mackenzie's account of machine learning locates places in which a sense of agency can take root. His archaeology of the operational formation of machine learning does not unearth the footprint of a strategic monolith but reveals the local tributaries of force that feed into the generalization and plurality of the field.

Full Product Details

Author:   Adrian Mackenzie (Professor, Lancaster University)
Publisher:   MIT Press Ltd
Imprint:   MIT Press
Dimensions:   Width: 17.80cm , Height: 1.30cm , Length: 22.90cm
ISBN:  

9780262537865


ISBN 10:   0262537869
Pages:   272
Publication Date:   08 December 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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Adrian Mackenzie is Professor of Technological Cultures in the Department of Sociology at Lancaster University and the author of Wirelessness- Radical Empiricism in Network Cultures (MIT Press).

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