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  1. zip 13.5MB
    Ediciones-Eni
    https://www.ediciones-eni.com › machine

    https://www.ediciones-eni.com/libro/machine-learning-implementar-en-python-con-scikit-learn-9782409047282/descargar-los-ejemplos-del-libro-13-779-ko.zip

    Libro Machine Learning - Implementar en Python con Scikit-learn Descargar los ejemplos del libro (13 779 Ko)
  2. zip 58KB
    Pega
    https://academy.pega.com › machine

    https://academy.pega.com/sites/default/files/media/documents/2021-11/CustomerData.zip

    Building models with Pega machine learning | Pega Academy CustomerData.zip
  3. zip 1.1MB
    Wplms
    https://wplms.io › Wplms PDF Certificates

    https://wplms.io/wp-content/uploads/2023/09/free_serif.zip

    WPLMS PDF Certificates - WPLMS Learning Management System Free Serif font download
  4. zip 1MB
    Computaex
    https://quantum.computaex.es › curso-de-computacion-cuantica-7-0

    https://quantum.computaex.es/wp-content/uploads/2025/06/Albacete_2025-20250602T193921Z-1-001.zip

    Curso de Computación Cuántica 7.0 - Quantum - COMPUTAEX Materiales para Aplicaciones del Quantum Machine Learning en Banca
  5. zip 13.7MB
    Bigdataconstruction
    https://bigdataconstruction.com › 2nd-dataset-task-data-from-pdf-getting-data-from-pdf-drawings-2

    https://bigdataconstruction.com/wp-content/uploads/2019/05/second_dataset_task_drawings.zip

    2nd Dataset. Task. Data from PDF. Getting data from PDF drawings. - Big Data, Machine Learning and AI in Construction, Architect second_dataset_task_drawings.zip 13.74 MB
  6. zip 275.6KB
    Absentdata
    https://absentdata.com › machine

    https://absentdata.com/wp-content/uploads/2019/06/Churn-Power-BI.zip

    Python Machine Learning in Power BI - AbsentData Churn Power BI PBIX notebook
  7. zip 746.9KB
    Icmlt
    https://icmlt.org ›

    https://icmlt.org/conference-latex-template_10-17-19.zip

    ICMLT 2026 – International Conference on Machine Learning Technologies Latex
  8. zip 746.9KB
    Icmlt
    https://www.icmlt.org ›

    https://www.icmlt.org/conference-latex-template_10-17-19.zip

    ICMLT 2026 – International Conference on Machine Learning Technologies >>LaTex Template
  9. zip 21.6KB
    Yuhuazhu
    https://www.yuhuazhu.org › machine

    https://www.yuhuazhu.org/_files/archives/330303_8fa7963c392f4dbd8f3d32913e3ce096.zip?dn=paper code.zip

    PDEs and Machine Learning | Yuhua Zhu Home Page Matlab code
  10. zip 13.5MB
    Ediciones-Eni
    https://media1.ediciones-eni.com › machine

    https://media1.ediciones-eni.com/libro/machine-learning-implementar-en-python-con-scikit-learn-9782409047282/descargar-los-ejemplos-del-libro-13-779-ko.zip

    Libro Machine Learning - Implementar en Python con Scikit-learn Descargar los ejemplos del libro (13 779 Ko)
  11. zip 8.8MB
    Findcareerinfo
    https://findcareerinfo.com › machine

    https://findcareerinfo.com/wp-content/uploads/2018/01/findcareerinfo.com_Cheat-Sheet.zip

    Collection of (ML) Machine Learning Cheat Sheets 2026 Download the zip file of all the above mention cheat sheets from here
  12. zip 138.1KB
    AC
    https://iciaiml.sknscoe.ac.in ›

    https://iciaiml.sknscoe.ac.in/assets/file/Springer-Lecture-Notes-Template.zip

    Innovations in Artificial Intelligence and Machine Learning (ICIAIML) Springer Lecture Notes Template
  13. zip 150.9KB
    Robot-Learning
    https://www.robot-learning.ml › 2020

    https://www.robot-learning.ml/2020/neurips_wrl2020.zip

    3rd Robot Learning Workshop:Grounding Machine Learning Development in the Real World use the NeurIPS Workshop template available here
  14. zip 145.7MB
    Bigml
    https://bigml.com › Documentation › Dashboard

    https://static.bigml.com/static/pdf/BigML_Dashboard_Full_Doc.zip?ver=844e17e

    BigML.com Dashboard Documentation - Machine Learning made easy Download full documentation
  15. zip 398.5KB
    Tuni
    https://events.tuni.fi › mlvis2019

    https://events.tuni.fi/app/uploads/2021/03/7cc1e440-egpubstyle-mlvis2019.zip

    MLVis 2019 | Machine Learning Methods in Visualisation | Tampere Universities MLVis 2019 latex style
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