Study notes for Data Science and Knowledge Engineering at Maastricht University

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Summary Intelligent Systems (IS)
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Summary of the Intelligent Systems course, taught at Maastricht University. Includes the following topics: - Intelligent agents - Types of AI - Agent environments - Agent architectures - Genetic algorithms - Expert systems - bayesian networks - multi agent coordination and coordination models - multi-agent reinforcement learning - Deep learning for agents

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  •  • 22 pages • 
  • by FamkeNouwens • 
  • uploaded  24-10-2021
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Summary Operations Research
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Summary of the Operations Research course, given at Maastricht University. Includes the following topics: operations research - transportation problem - simplex method - optimal solution - transportation simplex method - degeneracy - assignment problem - minimum-cost flow - integer programming - binary integer programming - branch and bound algorithm - nonlinear programming - KKT conditions - quadratic programming - Markov chains - Markov decision process

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  •  • 16 pages • 
  • by FamkeNouwens • 
  • uploaded  24-10-2021
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Summary Data Analysis
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Summary of the Data Analysis course, taught at Maastricht University. Contains at least the following topics: data analysis data science exploratory data analysis data visualisation data modelling data auditing data inspection variables data cleaning data transformation distributions data reduction statistical learning

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  •  • 13 pages • 
  • by FamkeNouwens • 
  • uploaded  24-10-2021
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