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    • This material is an introduction to machin learning with Python. Topics are: Unsupervised Learning: dimensionality reductiong; unsupervised Learning: clustering; supervised Learning: basic methods; supervised Learning: using real data and preprocessing1
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84 materials found
  • course

    Tools and Practices for FAIR Research Software

    FAIR documentation reproducible environment readable code
  • course

    Modern Scientific C++

    programming language c++
  • course

    Cpp17 Initiation for Pythonists

    programming language c++ scientific computin
  • course

    Python Traps and Pitfalls

    programming language python
  • course

    Introduction to Machine Learning

    programming language Python unsupervised learning supervised learning preprocessing
  • course

    Introduction to Deep Learning

    machine learning deep learning Python multi layer perceptron convolution neural network
  • course

    Make your code more efficient

    performance benchmarking profiling optimization
  • course

    Make your code more robust

    readable code testing documentation continuous integration
  • course

    Parallel Programming in Python

    parallel programming python serial dependency diagram
  • course

    GPU Programming: When, Why and How?

    gpu programming gpu hpc
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This project has received funding from the European Union’s Horizon Europe Programme under GA 101129744 — EVERSE — HORIZON-INFRA-2023-EOSC-01-02