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Intermediate syllabus
10 lessons · ~4.0h total · titles and estimated time only — the full lesson content is for active members.
Weekly
- Evaluating models beyond accuracy~10 min
- Feature engineering exercise~22 min
- Fine-tune a small model~25 min
- Cross-validation and hyperparameter tuning~26 min
- Handling imbalanced datasets~24 min
- Convolutional neural networks basics~28 min
- Recurrent networks and sequence data~26 min
- Transfer learning practice~24 min
- Build an embeddings-based search~26 min
- Model deployment and monitoring basics~26 min