₡14.700
The Black Technical Object: On Machine Learning and the Aspiration of Black Being
Ramon Amaro
The Black Technical Object: On Machine Learning and the Aspiration of Black Being
The Black Technical Object: On Machine Learning and the Aspiration of Black Being
Ramon Amaro
Descripción
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.
Detalles
| Formato | Tapa suave |
| Número de Páginas | 232 |
| Lenguaje | Inglés |
| Editorial | Sternberg Press |
| Fecha de Publicación | 2023-03-14 |
| Dimensiones | 8.2" x 5.2" x 0.8" pulgadas |
| Serie | Sternberg Press / The Antipolitical |
| Letra Grande | No |
| Con Ilustraciones | No |
| Temas | Afroamericano |
Acerca del Autor
Ramon Amaro is Lecturer in Art and Visual Cultures of the Global South at University College London, Department of History of Art. His writings, research, and practice emerge at the intersections of Black Study, digital culture, psychosocial study, and the critique of computational reason.
Garantía & Otros
| Garantía: | 30 dias por defectos de fabrica |
| Peso: | 0.318 kg |
| SKU: | 9783956795633 |
| Publicado en Unimart.com: | 15/10/24 |
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