Sprache: Englisch
Verlag: W. W. Norton & Company (edition ), 2021
ISBN 10: 0393868338 ISBN 13: 9780393868333
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Very Good. 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.
Sprache: Englisch
Verlag: W. W. Norton & Company (edition ), 2021
ISBN 10: 0393868338 ISBN 13: 9780393868333
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Fair. 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.
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In den WarenkorbPaperback. Zustand: Brand New. 496 pages. 8.00x5.25x1.25 inches. In Stock.
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In den WarenkorbPaperback. Zustand: Brand New. 496 pages. 8.00x5.25x1.25 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 496 pages. 8.00x5.25x1.25 inches. In Stock.
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Kartoniert / Broschiert. Zustand: New. Über den AutorBrian Christian is the author of the acclaimed bestsellers The Most Human Human and Algorithms to Live By, which have been translated into nineteen languages. A visiting scholar at th.
Sprache: Englisch
Verlag: Norton & Company Okt 2021, 2021
ISBN 10: 0393868338 ISBN 13: 9780393868333
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Today's 'machine-learning' systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands.The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called 'artificial intelligence.' They are steadily replacing both human judgment and explicitly programmed software.In best-selling author Brian Christian's riveting account, we meet the alignment problem's 'first-responders,' and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they-and we-succeed or fail in solving the alignment problem will be a defining human story.The Alignment Problem offers an unflinching reckoning with humanity's biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture-and finds a story by turns harrowing and hopeful.
Taschenbuch. Zustand: Neu. The Alignment Problem | Machine Learning and Human Values | Brian Christian | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Norton & Company | EAN 9780393868333 | Verantwortliche Person für die EU: Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, 99095 Erfurt, produktsicherheit[at]zeitfracht[dot]de | Anbieter: preigu.