Statistical Methods for Machine LearningLaajuus (2 ECTS)

Content

Machine Learning represents the new deal of statistical inference once powerful computational tools have been made available to scientists. The objects we want to infer are not yet simple parameters but entire functions. The data we process are not simple independent observations of a phenomenon; rather they represent complex links between different variables characterizing it. The inference’s success depends highly on the sagacity of the algorithms processing these data in relation to their inner structure we want to discover. This short course provides a statistical framework for perceiving, discussing and solving the key inference problems on which a large family of machine learning instances are rooted.