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MOOC MLWC - 2. Concepts of Machine Learning

This course includes 5 modules and focuses on the key concepts of Machine Learning.


Last updated: 12 September 2025
Enrolled students: 9.7K+

Multi-lesson course

Course Content

  • Introduction to data handling
  • Quiz 1: test your understanding of exercise 1
  • Quiz 2: test your understanding of exercise 2
  • Quiz 3: test your understanding of exercise 3
  • Quiz 4: test your understanding of exercise 4
  • Notebooks on linear regression and random forests
  • Introduction to deep learning πŸ•“10 min
  • Overview of ML architectures in weather and climate πŸ•“10 min
  • Deep dive into the building blocks of modern Deep Learning πŸ•“15 min
  • Understanding of Neural network training and hyperparameter tuning πŸ•“10 min
  • Quiz
  • Uncertainty & generative modelling πŸ•“25 min
  • Quiz πŸ•“5 min
  • Physics-Guided Machine Learning πŸ•“30 min
  • Physically-constrained postprocessing of surface weather​ πŸ•“25 min
  • Quiz​ πŸ•“5 min
  • Physically-informed subgrid-scale parameterization for climate modeling​ πŸ•“25 min
  • Quiz​ πŸ•“5 min

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