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Data Conscience: Algorithmic Siege on our Humanity
Da: Greenworld Books, Arlington, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.
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Data Conscience: Algorithmic Siege on our Humanity
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Data Conscience : Algorithmic Siege on Our Humanity
Lingua: Inglese
Editore: Wiley & Sons, Incorporated, John, 2022
ISBN 10: 1119821185 ISBN 13: 9781119821182
Da: Better World Books, Mishawaka, IN, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: 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.
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paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Data Conscience: Algorithmic Siege on our Humanity
Da: Goodwill San Antonio, San Antonio, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: good.
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Mitigating Bias in Machine Learning
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Data Conscience : Algorithmic Siege on Our Humanity
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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EUR 26,79
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Spedito in U.S.A.Quantità: Più di 20 disponibili
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Data Conscience : Algorithmic Siege on Our Humanity
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition.
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Mitigating Bias in Machine Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 27,50
Spedizione EUR 2,27
Spedito in U.S.A.Quantità: Più di 20 disponibili
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Data Conscience
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2022
ISBN 10: 1119821185 ISBN 13: 9781119821182
Paperback. Condizione: New. DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY Data has enjoyed 'bystander' status as we've attempted to digitize responsibility and morality in tech. In fact, data's importance should earn it a spot at the center of our thinking and strategy around building a better, more ethical world. It's use-and misuse-lies at the heart of many of the racist, gendered, classist, and otherwise oppressive practices of modern tech. In Data Conscience: Algorithmic Siege on our Humanity, computer science and data inclusivity thought leader Dr. Brandeis Hill Marshall delivers a call to action for rebel tech leaders, who acknowledge and are prepared to address the current limitations of software development. In the book, Dr. Brandeis Hill Marshall discusses how the philosophy of "move fast and break things" is, itself, broken, and requires change. You'll learn about the ways that discrimination rears its ugly head in the digital data space and how to address them with several known algorithms, including social network analysis, and linear regression A can't-miss resource for junior-level to senior-level software developers who have gotten their hands dirty with at least a handful of significant software development projects, Data Conscience also provides readers with: Discussions of the importance of transparencyExplorations of computational thinking in practiceStrategies for encouraging accountability in techWays to avoid double-edged data visualizationSchemes for governing data structures with law and algorithms.
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Mitigating Bias in Machine Learning
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 30,00
Spedizione EUR 2,27
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Data Conscience
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2022
ISBN 10: 1119821185 ISBN 13: 9781119821182
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 35,76
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Spedito da Regno Unito a U.S.A.Quantità: 8 disponibili
Aggiungi al carrelloPaperback. Condizione: New. DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY Data has enjoyed 'bystander' status as we've attempted to digitize responsibility and morality in tech. In fact, data's importance should earn it a spot at the center of our thinking and strategy around building a better, more ethical world. It's use-and misuse-lies at the heart of many of the racist, gendered, classist, and otherwise oppressive practices of modern tech. In Data Conscience: Algorithmic Siege on our Humanity, computer science and data inclusivity thought leader Dr. Brandeis Hill Marshall delivers a call to action for rebel tech leaders, who acknowledge and are prepared to address the current limitations of software development. In the book, Dr. Brandeis Hill Marshall discusses how the philosophy of "move fast and break things" is, itself, broken, and requires change. You'll learn about the ways that discrimination rears its ugly head in the digital data space and how to address them with several known algorithms, including social network analysis, and linear regression A can't-miss resource for junior-level to senior-level software developers who have gotten their hands dirty with at least a handful of significant software development projects, Data Conscience also provides readers with: Discussions of the importance of transparencyExplorations of computational thinking in practiceStrategies for encouraging accountability in techWays to avoid double-edged data visualizationSchemes for governing data structures with law and algorithms.
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Data Conscience
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 30,87
Spedizione EUR 5,81
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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EUR 39,82
Spedizione gratuita
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender. The authors examine the many kinds of bias that occur in the field today and provide mitigation strategies that are ready to deploy across a wide range of technologies, applications, and industries.Edited by engineering and computing experts, Mitigating Bias in Machine Learning includes contributions from recognized scholars and professionals working across different artificial intelligence sectors. Each chapter addresses a different topic and real-world case studies are featured throughout that highlight discriminatory machine learning practices and clearly show how they were reduced.Mitigating Bias in Machine Learning addresses:Ethical and Societal Implications of Machine LearningSocial Media and Health Information DisseminationComparative Case Study of Fairness ToolkitsBias Mitigation in Hate Speech DetectionUnintended Systematic Biases in Natural Language Processing Combating Bias in Large Language ModelsRecognizing Bias in Medical Machine Learning and AI ModelsMachine Learning Bias in HealthcareAchieving Systemic Equity in Socioecological SystemsCommunity Engagement for Machine Learning.
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Mitigating Bias in Machine Learning
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 45,37
Spedizione gratuita
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender. The authors examine the many kinds of bias that occur in the field today and provide mitigation strategies that are ready to deploy across a wide range of technologies, applications, and industries.Edited by engineering and computing experts, Mitigating Bias in Machine Learning includes contributions from recognized scholars and professionals working across different artificial intelligence sectors. Each chapter addresses a different topic and real-world case studies are featured throughout that highlight discriminatory machine learning practices and clearly show how they were reduced.Mitigating Bias in Machine Learning addresses:Ethical and Societal Implications of Machine LearningSocial Media and Health Information DisseminationComparative Case Study of Fairness ToolkitsBias Mitigation in Hate Speech DetectionUnintended Systematic Biases in Natural Language Processing Combating Bias in Large Language ModelsRecognizing Bias in Medical Machine Learning and AI ModelsMachine Learning Bias in HealthcareAchieving Systemic Equity in Socioecological SystemsCommunity Engagement for Machine Learning.
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Data Conscience: Algorithmic Siege on our Humanity
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Valutazione del venditore 5 su 5 stelle
Prima edizione
EUR 35,92
Spedizione EUR 10,50
Spedito da Irlanda a U.S.A.Quantità: 15 disponibili
Aggiungi al carrelloCondizione: New. 2022. 1st Edition. Paperback. . . . . .
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Data Conscience : Algorithmic Siege on Our Humanity
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 30,86
Spedizione EUR 17,36
Spedito da Regno Unito a U.S.A.Quantità: 7 disponibili
Aggiungi al carrelloCondizione: New.
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Data Conscience Algorithmic Siege on Our Humanity
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 34,89
Spedizione EUR 14,47
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 352 pages. 9.21x7.36x0.79 inches. In Stock.
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Data Conscience : Algorithmic Siege on Our Humanity
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 32,19
Spedizione EUR 17,36
Spedito da Regno Unito a U.S.A.Quantità: 7 disponibili
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Data Conscience: Algorithmic Siege on our Humanity
Da: Kennys Bookstore, Olney, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. 2022. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
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Mitigating Bias in Machine Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 36,56
Spedizione EUR 17,36
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Mitigating Bias in Machine Learning
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Valutazione del venditore 5 su 5 stelle
Prima edizione
EUR 43,41
Spedizione EUR 10,50
Spedito da Irlanda a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. 2024. 1st Edition. paperback. . . . . .
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Mitigating Bias in Machine Learning
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 41,79
Spedizione EUR 17,36
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EUR 60,09
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Mitigating Bias in Machine Learning
Da: Kennys Bookstore, Olney, MD, U.S.A.
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EUR 54,58
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Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. 2024. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
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Mitigating Bias in Machine Learning
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 54,04
Spedizione EUR 11,58
Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. student edition. 304 pages. 7.40x0.70x9.00 inches. In Stock.
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Data Conscience: Algorithmic Siege on our Humanity
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 4 su 5 stelle
EUR 61,21
Spedizione EUR 7,52
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
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Data Conscience: Algorithmic Siege on our Humanity
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New.
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Data Conscience
Lingua: Inglese
Editore: John Wiley and Sons Inc, US, 2022
ISBN 10: 1119821185 ISBN 13: 9781119821182
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: New. DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY Data has enjoyed 'bystander' status as we've attempted to digitize responsibility and morality in tech. In fact, data's importance should earn it a spot at the center of our thinking and strategy around building a better, more ethical world. It's use-and misuse-lies at the heart of many of the racist, gendered, classist, and otherwise oppressive practices of modern tech. In Data Conscience: Algorithmic Siege on our Humanity, computer science and data inclusivity thought leader Dr. Brandeis Hill Marshall delivers a call to action for rebel tech leaders, who acknowledge and are prepared to address the current limitations of software development. In the book, Dr. Brandeis Hill Marshall discusses how the philosophy of "move fast and break things" is, itself, broken, and requires change. You'll learn about the ways that discrimination rears its ugly head in the digital data space and how to address them with several known algorithms, including social network analysis, and linear regression A can't-miss resource for junior-level to senior-level software developers who have gotten their hands dirty with at least a handful of significant software development projects, Data Conscience also provides readers with: Discussions of the importance of transparencyExplorations of computational thinking in practiceStrategies for encouraging accountability in techWays to avoid double-edged data visualizationSchemes for governing data structures with law and algorithms.
