Bias in Deep Learning Models — Roadmap Step & Resources
How training data biases propagate into and amplify within model predictions
- Level: advanced
- Estimated time: 1 days
- Roadmap: Deep Learning & Neural Networks
Interview questions
- How can a model achieve high overall accuracy while still being biased against a subgroup?
Study resources
- Fairness in Machine Learning (Article) — Google's own official crash course covering sources of bias in ML models.
- Bias in AI Models Explained (Video) — A practical explanation of how bias enters training data and models.
Part of
- Responsible & Explainable Deep Learning — section
- Deep Learning & Neural Networks roadmap — the full learning path