Xiwei (187 results)

Condition: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Soft cover. Condition: New. ISBN:9789361592874,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback or Softback. Condition: New. ??????. Book.

paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condition: New.

Paperback. Condition: New. 1st. AI systems are solving real-world challenges and transforming industries, but there are serious concerns about how responsibly they operate on behalf of the humans that rely on them. Many ethical principles and guidelines have been proposed for AI systems, but they're often too 'high-level' to be translated into practice. Conversely, AI/ML researchers often focus on algorithmic solutions that are too 'low-level' to adequately address ethics and responsibility. In this timely, practical guide, pioneering AI practitioners bridge these gaps. The authors illuminate issues of AI responsibility across the entire system lifecycle and all system components, offer concrete and actionable guidance for addressing them, and demonstrate these approaches in three detailed case studies. Writing for technologists, decision-makers, students, users, and other stake-holders, the topics cover: Governance mechanisms at industry, organisation, and team levelsDevelopment process perspectives, including software engineering best practices for AISystem perspectives, including quality attributes, architecture styles, and patternsTechniques for connecting code with data and models, including key tradeoffsPrinciple-specific techniques for fairness, privacy, and explainabilityA preview of the future of responsible AI.…

Condition: good. Signs of wear and consistent use.

16 x 24 cm. XXII, 307 S. XXII, 307 p. 87 illus., 15 illus. in color. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.…

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New.

Condition: New.

Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Condition: New.

Paperback. Condition: Brand New. 162 pages. Chinese language. 9.00x6.00x0.41 inches. In Stock.

Condition: New. In English.

Taschenbuch. Condition: Neu. Neuware - AI systems are solving real-world challenges and transforming industries, but there are serious concerns about how responsibly they operate on behalf of the humans that rely on them. Many ethical principles and guidelines have been proposed for AI systems, but they're often too 'high-level' to be translated into practice. Conversely, AI/ML researchers often focus on algorithmic solutions that are too 'low-level' to adequately address ethics and responsibility. In this timely, practical guide, pioneering AI practitioners bridge these gaps. The authors illuminate issues of AI responsibility across the entire system lifecycle and all system components, offer concrete and actionable guidance for addressing them, and demonstrate these approaches in three detailed case studies.Writing for technologists, decision-makers, students, users, and other stake-holders, the topics cover:- Governance mechanisms at industry, organisation, and team levels- Development process perspectives, including software engineering best practices for AI- System perspectives, including quality attributes, architecture styles, and patterns- Techniques for connecting code with data and models, including key tradeoffs- Principle-specific techniques for fairness, privacy, and explainability- A preview of the future of responsible AI.…

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: As New. Unread book in perfect condition.

hardcover. Condition: Good. Ex library copy.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: Brand New. 320 pages. 9.06x7.36x0.71 inches. In Stock.