Learning Engineer Interview Questions

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There're three programming questions (with few details about pretended results) where I develop Python scripts importing the NumPy library. The remaining one is more theoretical implying a code explanation. All of them are related to the Computer Vision field.
Aug 16, 2022

There're three programming questions (with few details about pretended results) where I develop Python scripts importing the NumPy library. The remaining one is more theoretical implying a code explanation. All of them are related to the Computer Vision field.

1) Can you explain the difference between the Random Forest and XGBoost algorithms? 2) What are L1 and L2 regularization techniques, and which one would you use for feature selection? 3) What are the different model deployment options available in Amazon SageMaker? 4) How would you monitor a deployed model on SageMaker to ensure its performance over time? 5) Can you tell me about a research paper that you found particularly inspiring or impactful? What made it stand out to you?
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Machine Learning Engineer

Interviewed at Caylent

4.3
Nov 12, 2024

1) Can you explain the difference between the Random Forest and XGBoost algorithms? 2) What are L1 and L2 regularization techniques, and which one would you use for feature selection? 3) What are the different model deployment options available in Amazon SageMaker? 4) How would you monitor a deployed model on SageMaker to ensure its performance over time? 5) Can you tell me about a research paper that you found particularly inspiring or impactful? What made it stand out to you?

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