Applied Scientist Interview Questions

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Coding: Kmeans Clustering ML, DL technical round: explain overfitting, underfitting, bias variance tradeoff, kmeans clustering, decision tree working, loss functions, evaluation metrics for classification & regression, gradient descent, dropout layer, backpropogation, etc
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Applied Scientist II

Interviewed at Etsy

4
Sep 23, 2023

Coding: Kmeans Clustering ML, DL technical round: explain overfitting, underfitting, bias variance tradeoff, kmeans clustering, decision tree working, loss functions, evaluation metrics for classification & regression, gradient descent, dropout layer, backpropogation, etc

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