Math & Machine Learning Foundations
Overfitting, Generalisation and Data Splits
Why models that ace training data can fail in the real world, and how to measure it.
Intermediate 15 min For: Developers / Researchers ✎ In progress
✎ This lesson is still being written. Below is the planned outline; it is not indexed by search engines yet.
What this lesson will cover
- Train / validation / test splits
- Overfitting and regularisation
- Data leakage
- Double descent and large models