Arama Sonuçları - (( python case ) OR ( python com ))

Sonuçları Daraltın
  1. Manifold Learning Yazar: Ryckelynck, David, Casenave, Fabien, Akkari, Nissrine

    Baskı/Yayın Bilgisi 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. …”
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  2. Sensitivity Analysis for Business, Technology, and Policymaking

    Baskı/Yayın Bilgisi 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.…”
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  3. The Computational Content Analyst Yazar: Vargo, Chris J.

    Baskı/Yayın Bilgisi 2025
    “…Please visit www.routledge.com/9781032846354.…”
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  4. Quantum Computing from Hopfield Nets Yazar: Bauckhage, Christian, Sifa, Rafet

    Baskı/Yayın Bilgisi 2025
    “…The purpose of this book is therefore 1) to revisit these AI/ML models and their applications, and 2) to build on this familiar foundation to segue into the study of quantum computing and its possible use cases. The presentation is technical but pragmatic and practice oriented. …”
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  5. The Handbook of Qualitative and Quantitative Content Analysis Yazar: Schneijderberg, Christian, Wieczorek, Oliver, Steinhardt, Isabel

    Baskı/Yayın Bilgisi 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.…”
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  6. Inteligencia Artificial Aplicada a Procesamiento de Lenguaje Natural (NLP) con Python y Machine Learning. Yazar: Sangacha Tapia, Lady Mariuxi, Celi, Ricardo Javier, Acosta Guzmán, Ivan Leonel, Varela Tapia, Eleanor Alexandra

    Baskı/Yayın Bilgisi 2026
    “…Chapter 3 is the structuring of this chapter to know the definitions of supervised learning models that are useful in NLP oriented to text classification. Chapter 4 is a case of prediction or degree of assertiveness of an algorithm modeling, the intention is to demonstrate the use of a model and several techniques applying NLP based on machine learning.…”
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