| Class semester | 1st semester |
|---|---|
| Class type | Mandatory |
| Instructors | Ilias Zavitsanos
|
1. Data mining basic concepts
2. Data types and features
3-4. Data preprocessing and cleaning
5-6. Data classification and clustering
7. Itemset mining
8. Outliers and concept drift
9. Evaluation in data mining
10. Introduction to Natural Language Processing
11. Morphology and language models
12. Vectors semantics and neural representations
13. Syntactic and semantic parsing
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