Seminar AEDML 2009
Environmental data often need to be analysed in order to obtain information necessary for environmental management decisions. Sometimes it is necessary to use the data to build a model of the environmental process that we want to manage. In other cases the analysis is necessary to understand the environmental processes studied by identifying and understanding the interrelationships of different parameters.
Machine learning can be used to elicit regularities from data. In comparison to simple forms of regularities/dependencies treated by statistical methods, machine learning methods can find more complex regularities/dependencies that include both numerical and logical conditions.
The seminar will give an introduction to selected machine learning methods as well as illustrative case studies of using these methods to analyse environmental data. Applications in the areas of aquatic ecosystems, agriculture, fake emporio-armani watches forestry, environmental epidemiology, and disaster forecasting/relief will be covered in detail. The participants will learn to use selected machine learning tools and will have the opportunity for practical work with these tools on real environmental data.
The Seminar will take place between 4. – 8. 5.2009