Ensemble Learning: Aggregation Methods [ PART B ] Classifier Selection | Meta Learning / Classifiers 

Selected topics in Artificial Intelligence & Data Science: Applied Machine Learning
+ Ensemble Learning [4]: Aggregation Methods (PART B) Classifier Selection | Meta Learning (Meta Classifiers) | Mixture of Experts | Stacked Generalization (Stacking) | Bucket of Models
+ Contents:
- Aggregation Methods (Combining Classifiers) [ PART B - Classifier Selection ]
- Meta Learning (Meta Classifiers)
- MoE: Mixture of Experts (Community of Experts)
- Bucket of Models
- Stacked Generalization (Stacking)
Lectures in PDF are available at the following link: drive.google.com/drive/folders/1louktnxxfUkwioalrMIATItwM3wztAce?usp=sharing
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