Date:
17-20 June 2025 (9:30am-1pm) Book now!
Sign up closes 12th June 2025.
Short course description:
This interactive two-day course over four mornings will empower you with critical machine learning knowledge and skills. It will give a strong foundation in two widely used machine learning algorithms: random forests and support vector machines. You will join hands-on coding sessions in Python, using real-world environmental datasets such as water chemistry measurements from Loch Leven. You will learn how to explore and answer relevant environmental questions.
The course emphasizes practical learning, encouraging you to apply new skills to your own datasets. By the end of the course, you will be confident in your understanding of the core mathematical concepts. You will be able to implement these algorithms to solve real environmental problems. We encourage learners to apply the learning from the morning sessions in their own time with their own datasets.