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

Lectiile urmatoare:

1. AI Machine Learning. Introducere

2. AI Machine Learning. Supervised Learning. Regresia

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

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

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