Christian Smith
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Algorithmic Fact-Verification: Methods and Ethics explains how human judgment and machine intelligence intertwine in the creation of trust and credibility. It examines the social and moral consequences of giving AI an active role in verification, offering an accessible and thought-provoking account of how AI fact-checking is reshaping journalism, knowledge, and democracy in the digital age.
This book is a comprehensive guide to mastering .NET MAUI (Multi-platform App UI) and Blazor for developing cross-platform applications using a single shared codebase. It explains how to design, develop, and deploy unified applications for desktop (Windows, macOS), web, and mobile platforms (Android, iOS).
The text presents various methods for applying machine learning and deep learning techniques to heterogeneous agricultural data and incorporating advanced Internet of Things-enabled technologies for web and mobile based applications for crop lifecycle tracking.
