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Meilleures séries dans ce pays : Canada

1-12 sur 12 résultats pour « marcus kubsch »
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  • Applying Machine Learning in Science Education Research

    When, How, and Why?

    Modifié par Peter Wulff, Marcus Kubsch, Christina Krist ...
    Collections series Springer Texts in Education
    This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research projects. These methods power many artificial intelligence (AI)-based technologies and are widely adopted in science education research. ML can expand the methodological toolkit of science education ... En savoir plus

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  • Machine Learning: Concepts, Methodologies, Tools and Applications

    Modifié par Information Resources Management Association ...
    Statistics, psychology, and computer science are major influences in machine learning research. This exciting interdisciplinary science is a crucial component in many cutting-edge systems and business processes. Innovations in machine learning stand to change financial markets and uncover mysteries inherent in human learning. Machine Learning: Concepts, Methodologies, Tools, and Applications ... En savoir plus

    $1,951.19 CAD

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  • xxAI - Beyond Explainable AI

    International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers

    Modifié par Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek ...
    Collections series Computer Science (R0)
    This is an open access book.Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the ... En savoir plus

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  • Self-Adaptive Systems for Machine Intelligence

    par Haibo He ...
    This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and ... En savoir plus

    $97.99 CAD

  • Interpretability and Explainability in AI Using Python

    par Aruna Chakkirala ...
    Demystify AI Decisions and Master Interpretability and Explainability TodayKey Features● Master Interpretability and Explainability in ML, Deep Learning, Transformers, and LLMs● Implement XAI techniques using Python for model transparency● Learn global and local interpretability with real-world examplesBook DescriptionInterpretability in AI/ML refers to the ability to understand and explain h... ... En savoir plus

    $22.99 CAD

  • The Road to General Intelligence

    par Jerry Swan, Eric Nivel, Neel Kant, Jules Hedges, Timothy Atkinson, Bas Steunebrink ...
    Collections series Intelligent Technologies and Robotics (R0)
    Humans have always dreamed of automating laborious physical and intellectual tasks, but the latter has proved more elusive than naively suspected. Seven decades of systematic study of Artificial Intelligence have witnessed cycles of hubris and despair. The successful realization of General Intelligence (evidenced by the kind of cross-domain flexibility enjoyed by humans) will spawn an industry ... En savoir plus

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  • Introduction to Modeling Cognitive Processes

    par Tom Verguts ...
    An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments.Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a ... En savoir plus

    $51.99 CAD

  • Thinking AI

    How Artificial Intelligence Emulates Human Understanding

    par John MacCormick ...
    Can a computer program think like a human?“Can machines think?” Ever since Alan Turing posed this question in an influential 1950 paper, it has been central to research in artificial intelligence. More than seventy-five years after Turing’s paper, we grapple with it every time we wonder if Watson was actually smarter than Jeopardy! champions, or if ChatGPT really knows what it’s talking about. In ... En savoir plus

    $32.99 CAD

  • Emotion Recognition

    A Pattern Analysis Approach

    par Amit Konar, Aruna Chakraborty ...
    A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and biopotential signalsThis book provides a comprehensive examination of the research methodology of different modalities of emotion recognition. Key topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special ... En savoir plus

    $160.99 CAD

  • Emergent Behavior in Complex Systems Engineering

    A Modeling and Simulation Approach

    par Saurabh Mittal, Saikou Diallo, Andreas Tolk, William B. Rouse ...
    Collections series Stevens Institute Series on Complex Systems and Enterprises
    A comprehensive text that reviews the methods and technologies that explore emergent behavior in complex systems engineering in multidisciplinary fieldsIn Emergent Behavior in Complex Systems Engineering, the authors present the theoretical considerations and the tools required to enable the study of emergent behaviors in manmade systems. Information Technology is key to today’s modern world. ... En savoir plus

    $151.99 CAD

  • An Introduction to Artificial Psychology

    Application Fuzzy Set Theory and Deep Machine Learning in Psychological Research using R

    par Hojjatollah Farahani, Marija Blagojević, Parviz Azadfallah, Peter Watson, Forough Esrafilian, Sara Saljoughi ...
    Collections series Behavioral Science and Psychology (R0)
    Artificial Psychology (AP) is a highly multidisciplinary field of study in psychology. AP tries to solve problems which occur when psychologists do research and need a robust analysis method. Conventional statistical approaches have deep rooted limitations. These approaches are excellent on paper but often fail to model the real world. Mind researchers have been trying to overcome this by ... En savoir plus

    $243.39 CAD

  • Human and Machine Learning

    Visible, Explainable, Trustworthy and Transparent

    Modifié par Jianlong Zhou, Fang Chen ...
    Collections series Computer Science (R0)
    With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions ... En savoir plus

    $83.29 CAD