something like " tell me something a supervisor has done that they shouldn't have" so basically wanting be to bash a supervisor.... the only reason they would ask this question is because they don't want anyone that's gonna speak up when they themselves mess up. which is great news didn't wanna work for goofballs anyway
Particularly related to computer vision models.
What's the difference between instance based learning and model based learning?
Why are you interested in Atrium?
The problem is general and designed according to the app in the company. Define and narrow down the scale of the problem. Then dive deep through the general process of the general system design problems.
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.
Explain what PCA is to a developer.
- Please briefly introduce yourself and your background.
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?
Core concepts about machine learning. Deep dive into previous ML-related projects and experiences
Viewing 9771 - 9780 interview questions