Oneil Cathy (383 results)

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Paperback. Condition: good. Prompt shipment, with tracking. we ship in CLEAN SECURE BOXES NEW BOXES Democracies & Republics - General & Miscellaneous; Good trade paperback with creasing, nicked, and prompt shipping with tracking.

Broschiert. Condition: Gut. 345 Seiten Das Buch befindet sich in einem ordentlich erhaltenen Zustand. Sprache: Deutsch Gewicht in Gramm: 380 Sonderausgabe für die Bundeszentrale für politische Bildung.

Compact Disc. Condition: Brand New. mp3 una tr edition. Spanish language. 6.75x5.25x0.50 inches. In Stock.

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Taschenbuch. Condition: Neu. Neu Neuware, Importqualität, auf Lager - Longlisted for the National Book AwardNew York Times Bestseller A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life - and threaten to rip apart our social fabric We live in the age of the algorithm. Increasingly, the decisions that affect our lives-where we go to school, whether we get a car loan, how much we pay for health insurance-are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated. But as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a 'toxic cocktail for democracy.' Welcome to the dark side of Big Data. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These 'weapons of math destruction' score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change. - Longlist for National Book Award (Non-Fiction) - Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology) - Kirkus, Best Books of 2016 - New York Times, 100 Notable Books of 2016 (Non-Fiction) - The Guardian, Best Books of 2016 - WBUR's 'On Point,' Best Books of 2016: Staff Picks - Boston Globe, Best Books of 2016, Non-Fiction.

Paperback. Condition: New. Dust Jacket Condition: New. 1. Livro novo / New book.

Condition: New. Usually dispatch in 4/5 days --- Pages: 342 --- Editora: RUA DO SABAO --- Sinopse: Bem-vindo ao outro lado do Big Data.- Best Seller do New York Times - Indicado ao National Book Award -"Um manual para o cidadão do século XXI. Relevante e urgente." Financial Times"O livro de Cathy O'Neil oferece um olhar assustador sobre como os algoritmos estão regulando as pessoas. Seu conhecimento do poder e dos riscos dos modelos matemáticos, juntamente com o dom da analogia, torna-a uma das mais valiosas observadoras da contínua ameaça do Big Data." The New York TimesVivemos na Era do Algoritmo. Cada vez mais, as decisões que afetam nossas vidas onde estudamos, se obtemos um empréstimo para comprar um carro, quanto pagamos pelo seguro saúde estão sendo tomadas por modelos matemáticos. Em teoria, isso deveria nos conduzir para um mundo mais justo: todos são julgados de acordo com as mesmas regras e o preconceito é eliminado. Mas, como Cathy O'Neil revela neste livro urgente e necessário, a verdade é justamente o contrário. Os modelos usados hoje são opacos, não regulamentados e incontestáveis, mesmo quando estão errados. O mais preocupante é que eles reforçam a discriminação: se um estudante pobre não consegue obter um empréstimo porque o modelo matemático o considera muito arriscado (graças ao endereço onde mora), ele também é recusado na universidade que poderia tirá-lo da pobreza. Os algoritmos criam uma espiral discriminatória. Os modelos amparam os privilegiados e punem os oprimidos, criando um "coquetel tóxico para a democracia".

8°, x, 259 S., Text: englisch, farbig illustr. original Kartonage (Paperback), Seite 16/17 oben mit Eckknick, sonst schönes, sauberes Exemplar. Sprache: Englisch.

Hardcover. First Edition; First Printing. Near Fine in a Near Fine dust jacket.

Condition: usado- bueno.

paperback. Condition: New. Paperback. Language: Chinese Publisher: Peoples Posts and Telecommunications Press Data Science Practice was born out of the teaching notes of Columbia Universitys Introduction to Data Science course. It defines the scope of data science research. It is a book that focuses on humanistic spirit. multi-angle and comprehensive A practical guide that provides an in-depth introduction to data science can be called a practical treasure in the era of big data.?This book aims to enable readers to sol.