¿Qué modelos de Machine Learning has aplicado con un enfoque de visión computarizada?
Learning Engineer Interview Questions
6,588 learning engineer interview questions shared by candidates
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.
How to detect a loop in a linked list
How does the Stochastic Gradient work in optimizing the neural network?
Write a program to answer some probability and statistics questions.
What do you want from this position that you’re not getting in your current position?
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