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Machine Learners: Archaeology of a Data Practice book cover by Adrian Mackenzie
Paperback

Machine Learners: Archaeology of a Data Practice

by Adrian Mackenzie

$33.60 / copy at 25+ copies As low as $32.90 at 100+Your best volume price

Paperback · 272 pages MIT Press · 2017

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About the book

Machine Learners

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.



The book, Machine Learners: Archaeology of a Data Practice [Bulk, Wholesale, Quantity] ISBN#9780262537865 in Paperback by Adrian Mackenzie may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
MIT Press
Author
Adrian Mackenzie
Format
Paperback
Published
Dec 8, 2017
ISBN-13
9780262537865
ISBN-10
0262537869
Pages
272
Carton quantity
19 copies
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