• Tobias R. Rebholz
  • Vita
  • Research
  • Publications
  • Teaching
  • Culinary
    Tobias R. Rebholz

    Tobias R. Rebholz

    Quantitative Methods | Behavioral Science

    • Visiting Researcher @Duke University
    • Email
    • ORCID
    • Google Scholar
    • ResearchGate
    • Github
    • Stackoverflow
    • LinkedIn
    • XING
    • Bluesky
    • Mastodon
    • YouTube

    Introduction to Machine Learning

    Workshop, SMiP, University of Tübingen, 2024

    Syllabus

    • Syllabus.pdf

    Slides

    • module1-FINAL.pdf
    • module2-FINAL.pdf
    • module3-FINAL.pdf
    • module4-FINAL.pdf
    • module5-FINAL.pdf

    Markdown Source Files

    • module1.Rmd
    • module2.Rmd
    • module3.Rmd
    • module4.Rmd
    • module5.Rmd

    Tutorials

    • module1-linear_regression-SOLUTION.nb.html
    • module1-linear_regression.nb.html
    • module1-logistic_regression-SOLUTION.nb.html
    • module1-logistic_regression.nb.html
    • module2-SVM-SOLUTION.nb.html
    • module2-SVM.nb.html
    • module2-trees-SOLUTION.nb.html
    • module2-trees.nb.html
    • module3-clustering-SOLUTION.nb.html
    • module3-clustering.nb.html
    • module4-DL-SOLUTION-landscape_images.nb.html
    • module4-DL-SOLUTION.nb.html
    • module4-DL.nb.html

    Resources

    • module1-auditory_strings.csv
    • module1-video_reading.csv
    • module2-bfi-imbalanced.csv
    • module2-bfi.csv

    Markdown Source Files

    • module1-linear_regression-SOLUTION.Rmd
    • module1-linear_regression.Rmd
    • module1-logistic_regression-SOLUTION.Rmd
    • module1-logistic_regression.Rmd
    • module2-SVM-SOLUTION.Rmd
    • module2-SVM.Rmd
    • module2-trees-SOLUTION.Rmd
    • module2-trees.Rmd
    • module3-clustering-SOLUTION.Rmd
    • module3-clustering.Rmd
    • module4-DL-SOLUTION-landscape_images.Rmd
    • module4-DL-SOLUTION.Rmd
    • module4-DL.Rmd

    Share on

    Twitter Facebook LinkedIn
    Previous Next
    Sitemap
    • Follow:
    • GitHub
    • Feed
    © 2026 Tobias R. Rebholz. Powered by Jekyll & AcademicPages, a fork of Minimal Mistakes.