Sách - Machine Learning for High-Risk Applications : Techniques for Responsible by Patrick Hall (US edition, paperback) tại Lotte Market

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Ships from and sold by EXPERAL Singapore. Origin: United States (Imported). Condition: Brandnew. Pages: 350. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in
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Sách - Machine Learning for High-Risk Applications : Techniques for Responsible  by Patrick Hall (US edition, paperback)

Ships from and sold by EXPERAL Singapore

Publisher: O'Reilly Media

Origin: United States (Imported)

ISBN 13: 9781098102432

Condition: Brandnew

Binding: paperback

Pages: 350

Dimensons: 232 x 178 x 0 | 500 (gram)

---------------------------------------- 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 practice Get a guide to existing standards, laws, and assessments for adopting AI technologies Look at how existing roles at companies are evolving to incorporate responsible AI Examine business best practices and recommendations for implementing responsible AI Learn technical approaches for responsible AI at all stages of system development

Giá sản phẩm trên Tiki đã bao gồm thuế theo luật hiện hành. Bên cạnh đó, tuỳ vào loại sản phẩm, hình thức và địa chỉ giao hàng mà có thể phát sinh thêm chi phí khác như phí vận chuyển, phụ phí hàng cồng kềnh, thuế nhập khẩu (đối với đơn hàng giao từ nước ngoài có giá trị trên 1 triệu đồng).....

Chi Tiết Sách - Machine Learning for High-Risk Applications : Techniques for Responsible by Patrick Hall (US edition, paperback)

Công ty phát hànhPenguin Books
Nhà xuất bảnPenguin
ISBN-139781098102432

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