Introduction to Machine Learning for Climate Scientists

Session

Day 1

4 Mar 2024, 13:00

Room 034 (DKRZ Main Building)

Conveners

Day 1

• Paul Keil (DKRZ / HEREON)
• Adeniyi Mosaku (DKRZ / HEREON)
• Harsh Grover (DKRZ / HEREON)

1. Introduction to Machine Learning

Adeniyi Mosaku (DKRZ)

04/03/2024, 13:00

• A comprehensive overview of the concepts and principle behind Machine Learning
• Exploration of real-world applications of Machine Learning
• Differentiating different Machine Learning types
• Introducing popular Machine Learning tools and frameworks

3. Architectures and Applications

Paul Keil

04/03/2024, 15:00

• An overview of state of the art Machine Learning Methods
• Examples from weather, climate and beyond

9. Explainable AI

Harsh Grover

04/03/2024, 16:30

• Introduction to Explainable AI
• Importance of Explainability
• Interpretability techniques and use cases