Udvidet returret til d. 31. januar 2025

Bøger af Christo El Morr

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  • af Christo El Morr
    514,95 kr.

    Artificial intelligence and machine learning are becoming more present in society today and are expected to become more pervasive in the future. This four-section book is a first to shed a critical light on AI use, addressing the health, social, legal, ethical, philosophical questions raised.

  • af Christo El Morr
    1.320,95 kr.

    This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines.The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.

  • af Christo El Morr
    1.218,95 kr.

    AI's impact on human societies is and will be drastic in so many ways. AI is being adopted and implemented around the world, and government and universities are investing in AI studies, research, and development. However, very little research exists about the impact of AI on our lives. This book will address this gap; it will gather reflections from around the world to assess the impact of AI on different aspects of society as well as propose ways in which we can address this impact and the research agendas needed.

  • - A Practical Introduction
    af Christo El Morr & Hossam Ali-Hassan
    798,95 kr.

    This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes.

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