skip to content
Covid-19 virus
COVID-19 Resources

Reliable information about the coronavirus (COVID-19) is available from the World Health Organization (current situation, international travel). Numerous and frequently-updated resource results are available from this WorldCat.org search. OCLC’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus issues in their communities.

Image provided by: CDC/ Alissa Eckert, MS; Dan Higgins, MAM
Machine learners : archaeology of a data practice Preview this item
ClosePreview this item
Checking...

Machine learners : archaeology of a data practice

Author: Adrian Mackenzie
Publisher: Cambridge, MA : The MIT Press, [2017]
Edition/Format:   Print book : EnglishView all editions and formats
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)  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Document Type: Book
All Authors / Contributors: Adrian Mackenzie
ISBN: 9780262036825 0262036827
OCLC Number: 1017932995
Description: 272 pages
Responsibility: Adrian Mackenzie.

Abstract:

If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought?  Read more...

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.

Similar Items

Related Subjects:(3)

User lists with this item (4)

Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity<\/h3>
<http:\/\/www.worldcat.org\/oclc\/1017932995<\/a>> # Machine learners : archaeology of a data practice<\/span>\u00A0\u00A0\u00A0\u00A0a schema:CreativeWork<\/a>, schema:Book<\/a> ;\u00A0\u00A0\u00A0library:oclcnum<\/a> \"1017932995<\/span>\" ;\u00A0\u00A0\u00A0library:placeOfPublication<\/a> <http:\/\/id.loc.gov\/vocabulary\/countries\/mau<\/a>> ;\u00A0\u00A0\u00A0schema:about<\/a> <http:\/\/dewey.info\/class\/003.54\/e23\/<\/a>> ;\u00A0\u00A0\u00A0schema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/4062928822#Topic\/machine_learning_philosophy<\/a>> ; # Machine learning--Philosophy<\/span>\u00A0\u00A0\u00A0schema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/4062928822#Topic\/electronic_data_processing_philosophy<\/a>> ; # Electronic data processing--Philosophy<\/span>\u00A0\u00A0\u00A0schema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/4062928822#Topic\/information_theory<\/a>> ; # Information theory<\/span>\u00A0\u00A0\u00A0schema:author<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/4062928822#Person\/mackenzie_adrian_1962<\/a>> ; # Adrian Mackenzie<\/span>\u00A0\u00A0\u00A0schema:bookFormat<\/a> bgn:PrintBook<\/a> ;\u00A0\u00A0\u00A0schema:datePublished<\/a> \"2017<\/span>\" ;\u00A0\u00A0\u00A0schema:description<\/a> \"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.<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0schema:exampleOfWork<\/a> <http:\/\/worldcat.org\/entity\/work\/id\/4062928822<\/a>> ;\u00A0\u00A0\u00A0schema:inLanguage<\/a> \"en<\/span>\" ;\u00A0\u00A0\u00A0schema:name<\/a> \"Machine learners : archaeology of a data practice<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0schema:productID<\/a> \"1017932995<\/span>\" ;\u00A0\u00A0\u00A0schema:workExample<\/a> <http:\/\/worldcat.org\/isbn\/9780262036825<\/a>> ;\u00A0\u00A0\u00A0wdrs:describedby<\/a> <http:\/\/www.worldcat.org\/title\/-\/oclc\/1017932995<\/a>> ;\u00A0\u00A0\u00A0\u00A0.<\/div>

Related Entities<\/h3>
<http:\/\/dewey.info\/class\/003.54\/e23\/<\/a>>\u00A0\u00A0\u00A0\u00A0a schema:Intangible<\/a> ;\u00A0\u00A0\u00A0\u00A0.<\/div>
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/4062928822#Person\/mackenzie_adrian_1962<\/a>> # Adrian Mackenzie<\/span>\u00A0\u00A0\u00A0\u00A0a schema:Person<\/a> ;\u00A0\u00A0\u00A0schema:birthDate<\/a> \"1962<\/span>\" ;\u00A0\u00A0\u00A0schema:familyName<\/a> \"Mackenzie<\/span>\" ;\u00A0\u00A0\u00A0schema:givenName<\/a> \"Adrian<\/span>\" ;\u00A0\u00A0\u00A0schema:name<\/a> \"Adrian Mackenzie<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.<\/div>
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/4062928822#Topic\/electronic_data_processing_philosophy<\/a>> # Electronic data processing--Philosophy<\/span>\u00A0\u00A0\u00A0\u00A0a schema:Intangible<\/a> ;\u00A0\u00A0\u00A0schema:name<\/a> \"Electronic data processing--Philosophy<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.<\/div>
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/4062928822#Topic\/information_theory<\/a>> # Information theory<\/span>\u00A0\u00A0\u00A0\u00A0a schema:Intangible<\/a> ;\u00A0\u00A0\u00A0schema:name<\/a> \"Information theory<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.<\/div>
<http:\/\/experiment.worldcat.org\/entity\/work\/data\/4062928822#Topic\/machine_learning_philosophy<\/a>> # Machine learning--Philosophy<\/span>\u00A0\u00A0\u00A0\u00A0a schema:Intangible<\/a> ;\u00A0\u00A0\u00A0schema:name<\/a> \"Machine learning--Philosophy<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.<\/div>
<http:\/\/id.loc.gov\/vocabulary\/countries\/mau<\/a>>\u00A0\u00A0\u00A0\u00A0a schema:Place<\/a> ;\u00A0\u00A0\u00A0dcterms:identifier<\/a> \"mau<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.<\/div>
<http:\/\/worldcat.org\/isbn\/9780262036825<\/a>>\u00A0\u00A0\u00A0\u00A0a schema:ProductModel<\/a> ;\u00A0\u00A0\u00A0schema:isbn<\/a> \"0262036827<\/span>\" ;\u00A0\u00A0\u00A0schema:isbn<\/a> \"9780262036825<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.<\/div>