Wendy hui (210 resultados)

Condición: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condición: New. Paperback. Publisher overstock, may contain remainder mark on edge. Barnett, Alex (ilustrador).

Trade paperback. Condición: Very good. Trade paperback (US). Glued binding. 432 p. Contains: Unspecified, Illustrations, black & white, Halftones, black & white. Audience: General/trade.

Paperback. Condición: Good. How big data and machine learning encode discrimination and create agitated clusters of comforting rage.In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal?not an error?within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data?s predictive potential, stems from twentieth-century eugenic attempts to ?breed? a better future. Recommender systems foster angry clusters of sameness through homophily. Users are ?trained? to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible.Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates?groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data. Barnett, Alex (ilustrador).…

Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condición: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condición: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

Hardcover. Condición: Fair. With dust jacket. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Paperback. Condición: Good. How big data and machine learning encode discrimination and create agitated clusters of comforting rage.In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal?not an error?within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data?s predictive potential, stems from twentieth-century eugenic attempts to ?breed? a better future. Recommender systems foster angry clusters of sameness through homophily. Users are ?trained? to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible.Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates?groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data. Barnett, Alex (ilustrador).…

Paperback. Condición: Very Good. Reprint. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condición: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Condición: good. Fast & Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.

Condición: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.

Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

paperback. Condición: Good. Bruise/tear to cover.

Condición: Fair. CONDITION NOTES: Paperback. Great reading copy with light pencil underlining throughout. SYNOPSIS: A theoretical examination of the surprising emergence of software as a guiding metaphor for our neoliberal world.New media thrives on cycles of obsolescence and renewal: from celebrations of cyber-everything to Y2K, from the dot-com bust to the next big thingsâ"mobile mobs, Web 3.0, cloud computing. In Programmed Visions, Wendy Hui Kyong Chun argues that these cycles result in part from the ways in which new media encapsulates a logic of programmability. New media proliferates âprogrammed visions,â which seek to shape and predictâ"even embodyâ"a future based on past data. These programmed visions have also made computers, based on metaphor, metaphors for metaphor itself, for a general logic of substitutability. Chun argues that the clarity offered by software as metaphor should make us pause, because software also engenders a profound sense of ignorance: who knows what lurks behind our smiling interfaces, behind the objects we click and manipulate? The combination of what can be seen and not seen, known (knowable) and not knownâ"its separation of interface from algorithm and software from hardwareâ"makes it a powerful metaphor for everything we believe is invisible yet generates visible, logical effects, from genetics to the invisible hand of the market, from ideology to culture.…

Condición: Fair. CONDITION NOTES: Underlining and marginalized throughout. Minor bending on the corners of the front cover. SYNOPSIS: A theoretical examination of the surprising emergence of software as a guiding metaphor for our neoliberal world.New media thrives on cycles of obsolescence and renewal: from celebrations of cyber-everything to Y2K, from the dot-com bust to the next big thingsâ"mobile mobs, Web 3.0, cloud computing. In Programmed Visions, Wendy Hui Kyong Chun argues that these cycles result in part from the ways in which new media encapsulates a logic of programmability. New media proliferates âprogrammed visions,â which seek to shape and predictâ"even embodyâ"a future based on past data. These programmed visions have also made computers, based on metaphor, metaphors for metaphor itself, for a general logic of substitutability. Chun argues that the clarity offered by software as metaphor should make us pause, because software also engenders a profound sense of ignorance: who knows what lurks behind our smiling interfaces, behind the objects we click and manipulate? The combination of what can be seen and not seen, known (knowable) and not knownâ"its separation of interface from algorithm and software from hardwareâ"makes it a powerful metaphor for everything we believe is invisible yet generates visible, logical effects, from genetics to the invisible hand of the market, from ideology to culture.…

Condición: New.

Hardback. Condición: Good. What it means when media moves from the new to the habitual--when our bodies become archives of supposedly obsolescent media, streaming, updating, sharing, saving. New media--we are told--exist at the bleeding edge of obsolescence. We thus forever try to catch up, updating to remain the same. Meanwhile, analytic, creative, and commercial efforts focus exclusively on the next big thing: figuring out what will spread and who will spread it the fastest. But what do we miss in this constant push to the future? In>Updating to Remain the Same, Wendy Hui Kyong Chun suggests another approach, arguing that our media matter most when they seem not to matter at all--when they have moved from new to habitual. Smart phones, for example, no longer amaze, but they increasingly structure and monitor our lives. Through habits, Chun says, new media become embedded in our lives--indeed, we become our machines: we stream, update, capture, upload, link, save, trash, and troll.Chun links habits to the rise of networks as the defining concept of our era. Networks have been central to the emergence of neoliberalism, replacing society with groupings of individuals and connectable YOUS. (For isn't new media actually NYOU media?) Habit is central to the inversion of privacy and publicity that drives neoliberalism and networks. Why do we view our networked devices as personal when they are so chatty and promiscuous? What would happen, Chun asks, if, rather than pushing for privacy that is no privacy, we demanded public rights--the right to be exposed, to take risks and to be in public and not be attacked.…

Condición: As New. Unread book in perfect condition.

Paperback. Condición: New.

Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

paperback. Condición: Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages. Barnett, Alex (ilustrador).

Condición: New. Barnett, Alex (ilustrador).

Paperback. Condición: New. How big data and machine learning encode discrimination and create agitated clusters of comforting rage.In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal-not an error-within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data's predictive potential, stems from twentieth-century eugenic attempts to "breed" a better future. Recommender systems foster angry clusters of sameness through homophily. Users are "trained" to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible.Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates-groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data. Barnett, Alex (ilustrador).…

Condición: New.

Condición: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition. Please note: -May include library or rental stickers, stamps, or markings. -Supplemental materials e.g., CDs, access codes, inserts are not guaranteed. -Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading.…