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@@ -23,7 +23,7 @@ The course is project based and through various numerical projects and
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weekly exercises you will be exposed to fundamental research problems
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in these fields, with the aim to reproduce state of the art scientific
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results. Both supervised and unsupervised methods will be covered. The
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emphasis is on a frequentist approach with an emphasis on predictions
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focus is on a frequentist approach with an emphasis on predictions
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and correaltions. However, we will try, where appropriate, to link our
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machine learning models with a Bayesian approach as well. You will
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learn to develop and structure large codes for studying different

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