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Machine Learning High Risk Applications by Hall Patrick (25 results)
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Machine Learning for High-risk Applications : Approaches to Responsible Ai
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning for High-Risk Applications
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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£ 48.07
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Machine Learning for High-risk Applications : Approaches to Responsible Ai
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Machine Learning for High-Risk Applications: Techniques for Responsible AI
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 209.
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Machine Learning for High-Risk Applications: Approaches to Responsible AI
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Machine Learning for High-Risk Applications: Approaches to Responsible AI (Paperback or Softback)
Published by O'Reilly Media 5/23/2023, 2023
ISBN 10: 1098102436 ISBN 13: 9781098102432
Language: English
£ 44.36
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Add to basketPaperback or Softback. Condition: New. Machine Learning for High-Risk Applications: Approaches to Responsible AI 1.64. Book.
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Machine Learning for High-Risk Applications: Approaches to Responsible AI
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Machine Learning for High-risk Applications: Techniques for Responsible Ai
Published by Oreilly & Associates Inc, 2023
ISBN 10: 1098102436 ISBN 13: 9781098102432
Language: English
Paperback. Condition: Brand New. 350 pages. 9.19x7.00x0.95 inches. In Stock.
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£ 55.03
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Add to basketCondition: New. Über den AutorPatrick Hall is principal scientist at BNH.AI, where he advises Fortune 500 companies and cutting-edge startups on AI risk and conducts research in support of NIST s AI risk management framework. He also serves as v.
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Machine Learning for High-Risk Applications
Published by O'reilly Media Jun 2023, 2023
ISBN 10: 1098102436 ISBN 13: 9781098102432
Language: English
£ 70.58
Convert currency£ 8.37 shipping from Germany to United KingdomQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -'The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes approaches to responsible AI--a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.'.
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Machine Learning for High-Risk Applications
Published by O'reilly Media Jun 2023, 2023
ISBN 10: 1098102436 ISBN 13: 9781098102432
Language: English
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 70.58
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Add to basketTaschenbuch. Condition: Neu. Neuware -'The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes approaches to responsible AI--a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.' 438 pp. Englisch.
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Machine Learning for High-Risk Applications
Published by O'reilly Media Jun 2023, 2023
ISBN 10: 1098102436 ISBN 13: 9781098102432
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 70.58
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Add to basketTaschenbuch. Condition: Neu. Neuware -'The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes approaches to responsible AI--a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.' 438 pp. Englisch.
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Machine Learning for High-Risk Applications : Techniques for Responsible AI
Published by O'reilly Media Jun 2023, 2023
ISBN 10: 1098102436 ISBN 13: 9781098102432
Language: English
£ 70.10
Convert currency£ 11.76 shipping from Germany to United KingdomQuantity: 3 available
Add to basketTaschenbuch. Condition: Neu. Neuware - 'The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes approaches to responsible AI--a holistic framework for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Authors Patrick Hall, James Curtis, and Parul Pandey created this guide for data scientists who want to improve real-world AI/ML system outcomes for organizations, consumers, and the public.'.
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£ 80.54
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Add to basketCondition: New.
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Machine Learning for High-Risk Applications (Paperback)
Published by O'Reilly Media, Sebastopol, 2023
ISBN 10: 1098102436 ISBN 13: 9781098102432
Language: English
£ 57.33
Convert currency£ 37.26 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science.It's an ambitious undertaking that requires a diverse set of talents, experiences, and perspectives. Data scientists and nontechnical oversight folks alike need to be recruited and empowered to audit and evaluate high-impact AI/ML systems. Author Patrick Hall created this guide for a new generation of auditors and assessors who want to make AI systems better for organizations, consumers, and the public at large.Learn how to create a successful and impactful responsible AI practiceGet a guide to existing standards, laws, and assessments for adopting AI technologiesLook at how existing roles at companies are evolving to incorporate responsible AIExamine business best practices and recommendations for implementing responsible AILearn technical approaches for responsible AI at all stages of system development This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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£ 85.66
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£ 41.59
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Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Machine Learning for High-Risk Applications (Paperback)
Published by O'Reilly Media, Sebastopol, 2023
ISBN 10: 1098102436 ISBN 13: 9781098102432
Language: English
£ 85.83
Convert currency£ 27.57 shipping from Australia to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science.It's an ambitious undertaking that requires a diverse set of talents, experiences, and perspectives. Data scientists and nontechnical oversight folks alike need to be recruited and empowered to audit and evaluate high-impact AI/ML systems. Author Patrick Hall created this guide for a new generation of auditors and assessors who want to make AI systems better for organizations, consumers, and the public at large.Learn how to create a successful and impactful responsible AI practiceGet a guide to existing standards, laws, and assessments for adopting AI technologiesLook at how existing roles at companies are evolving to incorporate responsible AIExamine business best practices and recommendations for implementing responsible AILearn technical approaches for responsible AI at all stages of system development This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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£ 69.07
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Add to basketSoft cover. Condition: New. 1st Edition.
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Machine Learning for High-risk Applications: Techniques for Responsible Ai
Published by Oreilly & Associates Inc, 2023
ISBN 10: 1098102436 ISBN 13: 9781098102432
Language: English
Paperback. Condition: Brand New. 350 pages. 9.19x7.00x0.95 inches. In Stock. This item is printed on demand.
