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I applied via LinkedIn and was interviewed in Jan 2024. There were 5 interview rounds.
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posted on 11 Apr 2024
I applied via Referral and was interviewed in Oct 2023. There was 1 interview round.
posted on 25 Apr 2024
I applied via Company Website and was interviewed in Oct 2023. There was 1 interview round.
XGBoost is preferred over Random Forest for low bias models due to its ability to reduce bias further.
XGBoost is a more complex algorithm compared to Random Forest, allowing it to reduce bias further in low bias models.
XGBoost uses gradient boosting which helps in reducing bias by optimizing the loss function iteratively.
Random Forest may not be able to further reduce bias in low bias models as effectively as XGBoost.
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