Available on-demand
An introduction to machine learning
Tuesday, April 29 2025 – 15:00 – 16:00 BST
Machine learning is a powerful technology but it’s not a universal solution. Understanding its potential, limitations and effective applications is crucial.
In this webinar, we break down the fundamentals of machine learning – what it is, how it works and the reasons behind its growing popularity. We explore real-world applications in flood and climate modeling and examine emerging trends that are driving innovation and shaping the future of hydrological modeling.
In this webinar, our experts explore:
- The fundamentals of machine learning
- Guiding principles of machine learning, its role, strengths and limitations
- How machine learning can be used in flood and climate modeling
- Emerging trends and future applications
This webinar is part of a three-part training series, accredited by CIWEM, exploring the transformative role of machine learning in flood modeling. It highlights how machine learning improves uncertainty management, enhances modeling accuracy and supports early decision-making for adaptation and resilience. Explore the other webinars in this series:
Other webinars in this series
Part 2: The future of terrain data
We delve into the intersection of machine learning and terrain data, exploring how cutting-edge techniques are reshaping the way we analyze and utilize geographical information. In this webinar we’ll cover:
- Terrain data basics: Types, challenges, and applications
- Machine learning in terrain data: Opportunities, tasks and limitations
- Collaboration: Integrating machine learning with geographical expertise
- Fathom’s approach: Methods and evaluation principles
- Real-world applications: Flood modeling, urban planning and more
- Future trends: Emerging tech and innovations in machine learning
Part 3: Advancing flood and climate modeling with machine learning
This webinar explores the integration of machine learning and hydrology, focusing on global-scale flood and climate modeling. In this webinar we’ll cover:
- The fundamentals of global flood and climate modeling
- The science behind these models
- The role of machine learning in hydrology and climate science
- Access to essential datasets for hydrological modeling
- Applications of machine learning in data-scarce and poor-quality data regions
- Future trends in machine learning-driven flood and climate modeling
