Yahoo interview questions
Big tech · 1 question reported
- junior 1
- mid 0
- senior 0
These are 1 technical questions candidates reported being asked in Yahoo interviews for AI engineer, ML engineer and applied AI engineer roles, each with a model answer you can say out loud in a minute or two. They cover training: 1 junior, 0 mid-level and 0 senior questions. Every question comes from a public interview write-up that names Yahoo.Updated
Yahoo training and optimisation questions
Model answer
Overfitting: low training error, much higher validation error; add data or regularise. Underfitting: both high; add capacity. That's the bias-variance trade-off. Imbalance: check class counts, use precision-recall metrics, re-weight or resample. Missing data: measure missingness per feature, impute, and add a missing flag.
Each question comes from a public interview write-up or video that names Yahoo; the answers are ours. Not affiliated with Yahoo.