> For the complete documentation index, see [llms.txt](https://book.thedatascienceinterviewproject.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://book.thedatascienceinterviewproject.com/algorithms.md).

# Algorithms

- [Overview](https://book.thedatascienceinterviewproject.com/algorithms/overview.md): This page discusses the building blocks of an algorithm.
- [Bias/Variance Tradeoff](https://book.thedatascienceinterviewproject.com/algorithms/bias-variance-tradeoff.md)
- [Regression](https://book.thedatascienceinterviewproject.com/algorithms/regression.md)
- [Generative vs Discriminative Models](https://book.thedatascienceinterviewproject.com/algorithms/generative-vs-discriminative-models.md)
- [Classification](https://book.thedatascienceinterviewproject.com/algorithms/classification.md)
- [Clustering](https://book.thedatascienceinterviewproject.com/algorithms/clustering.md)
- [Tree based approaches](https://book.thedatascienceinterviewproject.com/algorithms/tree-based-approaches.md)
- [Time Series Analysis](https://book.thedatascienceinterviewproject.com/algorithms/time-series-analysis.md)
- [Anomaly Detection](https://book.thedatascienceinterviewproject.com/algorithms/anomaly-detection.md)
- [Big O](https://book.thedatascienceinterviewproject.com/algorithms/big-o.md)