Stop 15 · Interview PreparationML & Statistics · 1/3
ML Algorithm Deep-Dive Questions
Part of the Data Science Roadmap
In short
'Explain how random forests work' or 'when would you use logistic regression over a decision tree?' — testing genuine understanding of the algorithms from Phases 6-9, not just that you've called the library function.
How to learn this
- 1Review Phases 6-9 and practice explaining each major algorithm without notes.
- 2Prepare to discuss trade-offs between algorithms for a given problem type.
- 3Practice drawing a simple diagram (e.g. a decision tree split) while explaining out loud.
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