1Foundational Skills & Classical Machine Learning 1.4Data Science Fundamentals
1.4.2Underfitting, Overfitting
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| Part | 1 Foundational Skills & Classical Machine Learning |
|---|---|
| Topic | Data Science Fundamentals |
| Subtopic | Underfitting, Overfitting |
| Theory | Contestants should understand core concepts and theoretical underpinnings—the “why” behind AI. This may involve studying textbooks, courses, and other resources to delve into the mechanics that power AI algorithms. Breadth should be prioritized over depth in covering all relevant topics. |