Basic ML concept like l1 l2 norm/loss. concept like recall precision etc.
Machine Learning Engineer Interview Questions
6,170 machine learning engineer interview questions shared by candidates
Mostly machine learning questions related to NLP
Do you have experience with Pytorch?
Explain the Focal Loss is
¿Qué modelos de Machine Learning has aplicado con un enfoque de visión computarizada?
First Round: 1-1.30 hr long with all DL/ML-based questions. (I answered all of them) Second Round: Linear Algebra. (I performed good here also) Third Round: Live coding (Asked to code linear regression from scratch) (also completed) Fourth Round: Data Structures, Logical reasoning, and Scenario-based ML questions. (apart from a logical based question I answered all ) Fifth round: Computer vision round. All related to image-based questions and object detection algorithm. This round went very well as I was able to answer most of the questions.
Given a limited storage how would you store the CCTV Camera footage more efficiently.
Given a three sided dice with the probabilities p(1)=0.2, p(2)=0.3, p(3)=0.5. What is the expected value?
How did you approach a project where you had little to no direction?
Tell me a project you are proud of.
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