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Machine learners : archaeology of a data practice / Adrian Mackenzie.

MIT Press Direct (eBooks) Available online

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Format:
Book
Author/Creator:
Mackenzie, Adrian, 1962- author.
Language:
English
Subjects (All):
Information theory.
Machine learning--Philosophy.
Machine learning.
Electronic data processing--Philosophy.
Electronic data processing.
Philosophy.
Physical Description:
1 online resource (xvi, 252 pages) : illustrations
Place of Publication:
Cambridge, Massachusetts : The MIT Press, [2017]
System Details:
text file
Summary:
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. -- Provided by publisher.
Notes:
OCLC-licensed vendor bibliographic record.
ISBN:
9780262342551
0262342553
OCLC:
1023555155
Access Restriction:
Restricted for use by site license.

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