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Scientific topics: Bayesian methods

and Tools: scikit-learn

and Contributors: Saskia Hiltemann

14 materials found
  • e-learning

    Machine learning: classification and regression

    • beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Clustering in Machine Learning

    • beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Age prediction using machine learning

    • beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Regression in Machine Learning

    • beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Basics of machine learning

    • beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Classification in Machine Learning

    • beginner
    Statistics and probability Statistics and machine learning
  • slides

    Recurrent neural networks (RNN) Deep Learning - Part 2

    • beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Introduction to deep learning

    • beginner
    Statistics and probability Statistics and machine learning
  • slides

    Feedforward neural networks (FNN) Deep Learning - Part 1

    • beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Deep Learning (Part 1) - Feedforward neural networks (FNN)

    • beginner
    Statistics and probability Statistics and machine learning
  • 1
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TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.