Machine learners : (Record no. 73529)

000 -LEADER
fixed length control field 03907nam a2200505 i 4500
001 - CONTROL NUMBER
control field 8269017
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712204916.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180227s2017 maua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780262342551
-- electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- hardcover
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- hardcover
082 04 - CLASSIFICATION NUMBER
Call Number 003/.54
100 1# - AUTHOR NAME
Author Mackenzie, Adrian,
245 10 - TITLE STATEMENT
Title Machine learners :
Sub Title archaeology of a data practice /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (xvi, 252 pages) :
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction : into the data -- Diagramming machines -- Vectorization and its consequences -- Machines finding functions -- N=[upside down A]X : probabilization and the taming of machines -- Patterns and differences -- Regularizing and materializing objects -- Propagating subject positions -- Conclusion : out of the data.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Philosophy.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Philosophy.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8269017
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge, Massachusetts :
-- The MIT Press,
-- [2017]
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [2017]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Description based on print version record.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information theory.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronic data processing

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