Sisältöhaku

In this two day course we will examine various machine learning (and statistical learning) methods and their relationship to persuasive systems design. When designing personalized persuasive systems, often the personalization is based on user data, hence, a proper understanding of modern data science methods is key for successful personalized persuasive systems design. This course will cover supervised learning and reinforcement learning (multi-armed bandit problems), and it will explore rece...

816616J

IC00AH93-3001

Microbes are key players in climate change: microbial processes such as methanogenesis can contribute to greenhouse gas production, while other processes such as methanotrophy consume greenhouse gases and thus have the potential to help us mitigate climate change induced effects. Moreover, microbial adaptation to the changing climate will be crucial for ecosystem functioning in the future. In peatlands, microbes a crucial for the anaerobic degradation of organic matter, which via fermentation...

Field measurements, sampling, analysis

IC00AH93-3002

* Be able to design your own machine learning algorithms tailored to the problems you face in research * Have a better grasp of which models and algorithms to use in which situations * Understand basic mathematical theory underlying machine learning methods * We do not focus on implementation, but on theory. This course can replace other (compulsory or not) machine learning courses in your degree programme. Please check with your programme supervisor whether this is the case. Topics covered:...

521243S-3004

IC00AH93-3003

TF00BO14-3010

TF00BO14-3013

TS00DT09-3008

IC00AH93-3004