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@@ -41,7 +41,7 @@ course. More specifically, after this course you will
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- Learn about support vector machines and kernel transformations;
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- Reduction of data sets and unsupervised learning, from PCA to clustering;
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- Autoencoders and Reinforcement Learning;
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- Work on numerical projects to illustrate the theory. The projects play a central role and you are expected to know modern programming languages like Python or C++ and/or Fortran (Fortran2003 or later).
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- Work on numerical projects to illustrate the theory. The projects play a central role and you are expected to know modern programming languages like Python, Julia or C++ and/or Fortran (Fortran2003 or later).
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## Prerequisites and background
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