2. AI Machine Learning. Supervised Learning. Regresia

Lectiile urmatoare:

1. AI Machine Learning. Introducere

3. AI Machine Learning. Supervised Learning. Clasificarea

4-5. AI Machine Learning. Unsupervised Learning. Clustering

6. AI Machine Learning. Unsupervised Learning. Reducerea dimensionalității

7. AI Machine Learning. Ensemble Methods. Bagging. Boosting. Stacking

8. AI Machine Learning Introducere în rețele neuronale

9-10. AI Machine Learning. Deep Learning, Rețele CNN și RNN

11. AI Machine Learning. Autoencoders. Compresia și reducerea zgomotului

12. AI Machine Learning. Reinforcement Learning. Agent. Mediu. Recompensă

13. AI Machine Learning. Future Frameworks. AutoML. Online Learning

14-15. AI Machine Learning. Large Language Models. Arhitectura Transformer

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