Regarding the ML and Deep Learning Concepts and implementation.
Machining Interview Questions
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Questions related to basic ML
Senior ML researcher role - leetcode + basic ML questions, applied research discussion, systems design discussion, each 1 to 1.5h Squad lead role - leadership interview 1h
Core concepts about machine learning. Deep dive into previous ML-related projects and experiences
tell me of a satisfying achievement/impact you had in a recent project
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?
Explain about your work at prev org
What do you know about Recursion
Name a quality escape and the steps you took to address it.
What do you already know about Recursion?
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