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# Study notes for Data Science and Knowledge Engineering at Maastricht University

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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

- Summary
- • 22 pages •

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

### All 8 results

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

- Summary
- • 22 pages •

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

- Summary
- • 16 pages •

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

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

- Summary
- • 13 pages •

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

Summary of the course Natural Language Processing, taught at Maastricht University

- Summary
- • 23 pages •

Summary of the course Natural Language Processing, taught at Maastricht University

Summary of the Mathematical Simulation course, taught at Maastricht University

- Summary
- • 8 pages •

Summary of the Mathematical Simulation course, taught at Maastricht University

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Summary of the Linear Programming course, taught at Maastricht University.

- Summary
- • 8 pages •

Summary of the Linear Programming course, taught at Maastricht University.

Summary of all concepts and definitions given in the course Linear Algebra in period 2 of the first year of DKE.

- Book
- Summary
- • 34 pages •

Summary of all concepts and definitions given in the course Linear Algebra in period 2 of the first year of DKE.

Lijst van belangrijke concepten

- Book
- Study guide
- • 2 pages •

Lijst van belangrijke concepten