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MOOC MLWC_Tier 2
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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+
Recognition
Certification not available
Type of learning resource
Multi-lesson course
Course Content
General
Introduction to data handling
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
Regression and decision trees
Notebooks on linear regression and random forests
Deep learning architectures
Introduction to deep learning π10 min
Overview of ML architectures in weather and climate π10 min
Deep dive into the building blocks of modern Deep Learning π15 min
Understanding of Neural network training and hyperparameter tuning π10 min
Quiz
Uncertainty & generative modelling
Uncertainty & generative modelling π25 min
Quiz π5 min
Physics-Guided Machine Learning
Physics-Guided Machine Learning π30 min
Physically-constrained postprocessing of surface weatherβ π25 min
Quizβ π5 min
Physically-informed subgrid-scale parameterization for climate modelingβ π25 min
Quizβ π5 min
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Self enrolment (Student)
Self enrolment (Student)
Self enrolment (Student)
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