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Paperback. 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. If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de ref. del artículo 9780262537865
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.
Acerca del autor: 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).
Título: Machine Learners (Paperback)
Editorial: MIT Press Ltd, Cambridge, Mass.
Año de publicación: 2017
Encuadernación: Paperback
Condición: new
Librería: Bellwetherbooks, McKeesport, PA, Estados Unidos de America
paperback. Condición: Very Good. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting. Nº de ref. del artículo: mon0000007922
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
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Librería: Daedalus Books, Portland, OR, Estados Unidos de America
Paperback. Condición: Near Fine. Remainder mark on top edge. A nice, bright copy. ; The MIT Press; B&W Illustrations; 8.9 X 778,740,086.0 X 0.6 inches; 252 pages. Nº de ref. del artículo: 288802
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Librería: College Campus, North Fort Myers, FL, Estados Unidos de America
Condición: Good. Used Item. Does not include New Access Codes , Cd's or one time use items that come when New. This item is Used. Nº de ref. del artículo: 026203682713122-KEPA-1214230255
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Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
Paperback. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Nº de ref. del artículo: Scanned0262537869
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