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Taschenbuch. Zustand: Neu. Federal Data Science | Transforming Government and Agricultural Policy Using Artificial Intelligence | Feras A Batarseh (u. a.) | Taschenbuch | Englisch | 2017 | Elsevier Science | EAN 9780128124437 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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In den WarenkorbZustand: New. The future of the data republic, life within a data democracy, and our digital freedoms An in-depth analysis of open science, open data, open source software, and their future challenges A comprehensive review of data democracy s .
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In den WarenkorbZustand: New. Inhaltsverzeichnisrnrn1. An introduction to AI assurance2. Setting the goals for ethical, unbiased and fair AI3. An overview of explainable and interpretable AI4. Bias, Fairness, and assurance in AI: Overview and Synthesis5. An e.
Taschenbuch. Zustand: Neu. Neuware - Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering provides a manifesto to data democracy. After reading the chapters of this book, you are informed and suitably warned! You are already part of the data republic, and you (and all of us) need to ensure that our data fall in the right hands. Everything you click, buy, swipe, try, sell, drive, or fly is a data point. But who owns the data At this point, not you! You do not even have access to most of it. The next best empire of our planet is one who owns and controls the world's best dataset. If you consume or create data, if you are a citizen of the data republic (willingly or grudgingly), and if you are interested in making a decision or finding the truth through data-driven analysis, this book is for you. A group of experts, academics, data science researchers, and industry practitioners gathered to write this manifesto about data democracy.
Sprache: Englisch
Verlag: Elsevier Science & Technology Okt 2022, 2022
ISBN 10: 0323919197 ISBN 13: 9780323919197
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI provides readers with solutions and a foundational understanding of the methods that can be applied to test AI systems and provide assurance. Anyone developing software systems with intelligence, building learning algorithms, or deploying AI to a domain-specific problem (such as allocating cyber breaches, analyzing causation at a smart farm, reducing readmissions at a hospital, ensuring soldiers' safety in the battlefield, or predicting exports of one country to another) will benefit from the methods presented in this book.