000 -LEADER |
fixed length control field |
nam a22 7a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
180820b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780262036825 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
003.54 |
Item number |
MAC |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Mackenzie, Adrian |
245 ## - TITLE STATEMENT |
Title |
Machine learners: archaeology of a data practice |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc |
MIT Press, |
Date of publication, distribution, etc |
2017 |
Place of publication, distribution, etc |
Cambridge, Massachusetts: |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xvi, 252 p. : |
Other physical details |
ill.; |
Dimensions |
23.5 cm. |
365 ## - TRADE PRICE |
Price type code |
US$ |
Price amount |
40.00 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
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. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Information theory |
|
Topical term or geographic name as entry element |
Propagating subject positions |
|
Topical term or geographic name as entry element |
Materializing Objects |
|
Topical term or geographic name as entry element |
Taming of Machines |
|
Topical term or geographic name as entry element |
Probabilization |
|
Topical term or geographic name as entry element |
Machines finding functions |
|
Topical term or geographic name as entry element |
Vectorization |
|
Topical term or geographic name as entry element |
Diagramming Machines |
|
Topical term or geographic name as entry element |
Electronic data processing |
|
Topical term or geographic name as entry element |
Apprentissage automatique |
|
Topical term or geographic name as entry element |
Intelligence artificielle |
|
Topical term or geographic name as entry element |
Philosophy |
|
Topical term or geographic name as entry element |
Machine learning |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
Books |