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  1. Manifold Learning por Ryckelynck, David, Casenave, Fabien, Akkari, Nissrine

    Publicado 2024
    “…The book gives access to python libraries available on gitlab.com, which have been developed as part of the research program [FUI-25] MORDICUS funded by the French government. …”
    Enlace del recurso
    Online
  2. Tecnología de la programación por Hernández, L. Daniel

    Publicado 2025
    “…This book addresses the foundations of modern programming, with a widely used and demanded programming language in scientific disciplines (Python) so that students in mathematics (or other areas) can have a versatile profile when facing problems of problemsdifferent mathematical nature. …”
    Enlace del recurso
    Online
  3. Programming Foundations por Šoštarić, Nikolina

    Publicado 2025
    “…Through hands-on learning, each chapter builds both confidence and competence, guiding students from simple scripts to more complex code. By the end of the book, students will not only understand Python’s core principles but also have the skills and tools to tackle real coding challenges within their scientific disciplines.…”
    Enlace del recurso
    Online
  4. Sensitivity Analysis for Business, Technology, and Policymaking

    Publicado 2025
    “…The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.…”
    Enlace del recurso
    Online
  5. The Computational Content Analyst por Vargo, Chris J.

    Publicado 2025
    “…This book offers practical guidance and Python code to traverse the vast expanses of data—significantly enhancing productivity without compromising scholarly integrity. …”
    Enlace del recurso
    Online
  6. Quantum Computing from Hopfield Nets por Bauckhage, Christian, Sifa, Rafet

    Publicado 2025
    “…This open access book is meant as a textbook for Computer Science students who are looking for a gentle introduction to the world of quantum computing. More specifically, it is written for readers who have basic knowledge of Artificial Intelligence (AI) and Machine Learning (ML) and have a certain familiarity with search algorithms, optimization techniques, and neural networks. …”
    Enlace del recurso
    Online
  7. The Handbook of Qualitative and Quantitative Content Analysis por Schneijderberg, Christian, Wieczorek, Oliver, Steinhardt, Isabel

    Publicado 2026
    “…The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.…”
    Enlace del recurso
    Online