chore: new articles

Author: DiogoRibeiro7

_posts/-_ideas/2030-01-01-data_model_drift.md

@@ -13,11 +13,6 @@ tags: []
 
 ## Article Ideas on Data Drift and Model Drift
 
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-### 5. **Model Retraining Strategies to Handle Data Drift**
-   - **Overview**: Provide strategies for handling data drift through **incremental learning**, **active learning**, or **periodic retraining**.
-   - **Focus**: Pros and cons of different retraining approaches, and how to avoid overfitting or underfitting when adapting models to new data distributions.
-
 ### 6. **Data Drift vs. Concept Drift: Understanding the Differences and Implications**
    - **Overview**: Differentiate between **data drift** (changes in the input data distribution) and **concept drift** (changes in the underlying relationships between inputs and outputs).
    - **Focus**: Provide real-world examples to illustrate how each type of drift affects model performance and decision-making.