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  • Adversarial AI Threat Response and Secure Model Design

    Practical Techniques for Detecting, Preventing, and Managing AI Vulnerabilities

    Series series Professional and Applied Computing (R0)
    As artificial intelligence becomes embedded in everything from healthcare diagnostics to financial systems and autonomous vehicles, the stakes for AI security have never been higher. Adversarial AI Threat Response and Secure Model Design is your essential guide to understanding, defending against, and designing resilient machine learning systems in the face of growing adversarial threats.Written ... Leer más

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  • AI-Assisted Assessment in Education

    Transforming Assessment and Measuring Learning

    Series series Education (R0)
    This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques, and the practical implementation of AI tools in ... Leer más

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  • Designing Context-Rich Learning by Extending Reality

    Edición de Jason Braun, Goran Trajkovski ...
    Simulations, games, and real or virtual apprenticeships are the kinds of context-rich learning environments that leverage the power of episodic memory, boost student motivation, and create the conditions that make learning transfer more likely. Context-rich learning embodies the answer to the question, “Why do we need to learn this?” Many students, especially those who have dyslexia or otherwise ... Leer más

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  • Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics

    In the modern data-driven era, artificial intelligence (AI) and machine learning (ML) technologies that allow a computer to mimic intelligent human behavior are essential for organizations to achieve business excellence and assist organizations in extracting useful information from raw data. AI and ML have existed for decades, but in the age of big data, this sort of analysis is in higher demand ... Leer más

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  • Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan

    Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. ... Leer más

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  • Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications

    Edición de Goran Trajkovski ...
    Agent technologies and multi-agent systems is an emerging field of study that is unique in the sense that all efforts to build this discipline unite knowledge from different areas of study. Developments in Intelligent Agent Technologies and Multi-Agent Systems: Concepts and Applications discusses research on emerging technologies and systems based on agent and multi-agent paradigms across various ... Leer más

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