A contemplation on the abstruse nature of machine learning, mathematics, and the deep incursion of racial hierarchy. <p/>The Black Technical Object aims at introducing the history of statistical analysis and a knowledge of sociogenesis--a system of racism amenable to scientific explanation--into machine learning research as an act of impairing the racial ordering of the world. While machine learning--computer programming designed for taxonomic patterning--provides useful insight into racism and racist behavior, a gap is present in the relationship between machine learning, the racial history of scientific explanation, and the Black lived experience. Ramon Amaro explores how the history of data and statistical analysis provides a clear (and often sudden) grasp of the complex relationship between race and machine learning. Amaro juxtaposes a practical analysis of machine learning with a theory of Black alienation in order to inspire alternative approaches to contemporary algorithmic practice. In doing so, he offers a continuous contemplation on the abstruse nature of machine learning, mathematics, and the deep incursion of racial hierarchy.
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Ramon Amaro is Lecturer in Art and Visual Cultures of the Global South at University College London. His writing, research and practice emerge at the intersections of Black Study, psychopathology, digital culture, and the critique of computation reason.
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Paperback. Condition: new. Paperback. On the abstruse nature of machine learning, mathematics, and the deep incursion of racial hierarchy.On the abstruse nature of machine learning, mathematics, and the deep incursion of racial hierarchy.To impair the racial ordering of the world, The Black Technical Object introduces the history of statistical analysis and "scientific" racism into research on machine learning. Computer programming designed for taxonomic patterning, machine learning offers useful insights into racism and racist behavior, but its connection to the racial history of science and the Black lived experience has yet to be developed. In this book, Ramon Amaro explores how the history of data and statistical analysis informs the complex relationship between race and machine learning. He juxtaposes a practical analysis of this type of computerized learning with a theory of Black alienation in order to inspire alternative approaches to contemporary algorithmic practice. In doing so, Amaro contemplates the abstruse nature of programming and mathematics, as well as the deep incursion of racial hierarchies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783956795633
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