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A01=Justin Joque
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Algorithms
Artificial Intelligence
Author_Justin Joque
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Bayesian
Capitalism
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COP=United Kingdom
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Statistics

Revolutionary Mathematics

4.00 (31 ratings by Goodreads)

English

By (author): Justin Joque

Our finances, politics, media, opportunities, information, shopping and knowledge production are mediated through algorithms and their statistical approaches to knowledge; increasingly, these methods form the organizational backbone of contemporary capitalism. Revolutionary Mathematics traces the revolution in statistics and probability that has quietly underwritten the explosion of machine learning, big data and predictive algorithms that now decide many aspects of our lives. Exploring shifts in the philosophical understanding of probability in the late twentieth century, Joque shows how this was not merely a technical change but a wholesale philosophical transformation in the production of knowledge and the extraction of value. This book provides a new and unique perspective on the dangers of allowing artificial intelligence and big data to manage society. It is essential reading for those who want to understand the underlying ideological and philosophical changes that have fueled the rise of algorithms and convinced so many to blindly trust their outputs, reshaping our current political and economic situation. See more
€21.99
A01=Justin JoqueAge Group_UncategorizedAlgorithmsArtificial IntelligenceAuthor_Justin Joqueautomatic-updateBayesianCapitalismCategory1=Non-FictionCategory=HPKCategory=HPLCategory=PBBCategory=QDTKCategory=QDTLCOP=United KingdomDataDelivery_Delivery within 10-20 working dayseq_isMigrated=2FrequentismLanguage_EnglishMachine LearningPA=AvailablePrice_€10 to €20ProbabilityPS=ActivesoftlaunchStatistics
Delivery/Collection within 10-20 working days
Product Details
  • Weight: 232g
  • Dimensions: 140 x 210mm
  • Publication Date: 11 Jan 2022
  • Publisher: Verso Books
  • Publication City/Country: GB
  • Language: English
  • ISBN13: 9781788734004

About Justin Joque

Justin Joque researches philosophy, technology and media and is the visualization librarian at the University of Michigan.

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