A lot BQ questions, two simple coding questions, one open question in the field of computer vision
Applied Scientist Interview Questions
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What's your expectation from this job?
Cannot discuss because of NDA
Coding: Graph based Leetcode ML/DL: Based on my past project experiences, asked about different scenarios, use cases, and pros and cons of using them, behavioral, and basic ML/DL/Transformers questions
Coding: Kmeans Clustering ML, DL technical round: explain overfitting, underfitting, bias variance tradeoff, kmeans clustering, decision tree working, loss functions, evaluation metrics for classification & regression, gradient descent, dropout layer, backpropogation, etc
Explain bias variance trade-off in relation to ML model complexity.
Describe the calibration process of Vicon.
To find connected components on a 2D matrix.
Career goals, two leadership principle questions.
LRU
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