Summary
Summary Machine Learning
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1
Pages
28
Uploaded on
23-10-2021
Written in
2018/2019
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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Written for
- Institution
- Maastricht University (UM)
- Study
- Data Science And Artificial Intelligence
- Module
- Machine Learning
All documents for this subject (1)
Document information
- Uploaded on
- October 23, 2021
- Number of pages
- 28
- Written in
- 2018/2019
- Type
- SUMMARY
Subjects
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machine learning
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artificial intelligence
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regression
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graph
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bayesian networks
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classification
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clustering
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decision trees
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classifiers
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hypothesis
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algorithm
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confidence interval
-
roc curve
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bayesian learning
-
ai
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