The aim of the course is to introduce you to the most common Machine Learning tools. These tools include classical methods such as Linear Models, standard methods like Trees and Support Vector Machines or more recent tools like UMAP or Artificial Neuronal Networks. The tools will be explained by discussing an hands-on example and by briefly working out the underlying mathematical idea.
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