TY  - BOOK
AU  - Mackenzie,Adrian
TI  - Machine learners: archaeology of a data practice 
SN  - 9780262036825 (hbk.) :
U1  - 003.5'4 23
PY  - 2017///]
CY  - Cambridge, Massachusetts
PB  - The MIT Press
KW  - Information theory
KW  - Machine learning
KW  - Philosophy
KW  - Electronic data processing
KW  - General
KW  - eflch
KW  - ukslc
N1  - Includes bibliographical references and index; Specialized
N2  - 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. Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking
ER  -