1. Einführung (Druckversion)
2. Lineare Regression (Druckversion)
3. Logistische Regression (Druckversion)
4. Generalized Linear Models (Druckversion)
5. Multinomial Logistic Regression (Druckversion)
6. Feature Engineering (Druckversion)
7. Bias & Variance (Druckversion)
8. Locally Weighted Regression (Druckversion)
9. Gaussian Discriminant Analysis (Druckversion)
10. Naive Bayes (Druckversion)
11. Support Vector Machines (Druckversion)
12. Anomaly Detection (Druckversion)
13. Decision Trees & Ensemble Models (Druckversion)
14. Clustering (Druckversion)
15. Neuronale Netzwerke (Druckversion)
16. Convolutional Neuronal Networks (Druckversion)
17. Recurrent Neural Networks (Druckversion)
18. Transformers und LLMs (Druckversion)