Machine Learning
Maastricht University (UM)
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Summary
Summary Machine Learning
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--128October 20212018/2019
- Summary of the Machine Learning course, taught at Maastricht University. 
Contains at least the following topics: 
ai 
regression (logistic and linear) 
bayesian networks 
graphs 
classification tasks/models 
clustering 
decision trees 
confidence intervals 
neural nets 
recommender systems 
support vector machine 
instance based learning (nearest neighbour) 
reinforcement learning
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