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Morten Hjorth-Jensen
2018-01-19 17:19:52 -05:00
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@@ -35,7 +35,7 @@ essential for studies of data analysis and machine learning. The course is proje
- Gain knowledge of central aspects of Monte Carlo methods, Markov chains, Gibbs samplers and their possible applications, from numerical integration to simulation of stock markets;
- Understand linear methods for regression and classification;
- Learn about neural network, genetic algorithms and Boltzmann machines;
- Work on numerical projects to illustrate the theory. The projects play a central role and students are expected to know modern programming languages like Python or C++.
- Work on numerical projects to illustrate the theory. The projects play a central role and students are expected to know modern programming languages like Python or C++.
## Prerequisites