Applied Scientist Interview Questions

1,159 applied scientist interview questions shared by candidates

what is the difference between rnn and lstm. answer by me lstm has a extra forget Gate to implement rnn can't remember long context and theoritically lstms can remember all the relevant history even if it's very far away. he said it's a vauge reply then interview asked about demnishing gradients which I explained , and he asked lstm vs rnn which one handle the dimnishing gragient problem better. for which I replied lstm to which he said you should have told this in lstm vs rnn at this point I was really disappointed with his knowledge , tone and attitude . but what to do he was the interviewer
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Applied Scientist

Interviewed at Amazon

3.5
Jan 5, 2022

what is the difference between rnn and lstm. answer by me lstm has a extra forget Gate to implement rnn can't remember long context and theoritically lstms can remember all the relevant history even if it's very far away. he said it's a vauge reply then interview asked about demnishing gradients which I explained , and he asked lstm vs rnn which one handle the dimnishing gragient problem better. for which I replied lstm to which he said you should have told this in lstm vs rnn at this point I was really disappointed with his knowledge , tone and attitude . but what to do he was the interviewer

There were two rounds. The first round involved basic questions to evaluate my demeanor and how I would negotiate difficult situations. The second round was a bit more technical. It involved an algorithm design question.
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Applied Scientist Intern

Interviewed at Amazon

3.5
Jan 16, 2022

There were two rounds. The first round involved basic questions to evaluate my demeanor and how I would negotiate difficult situations. The second round was a bit more technical. It involved an algorithm design question.

They asked a lot of behavioral questions. Regarding the technical questions, they asked computer vision (6 DoF pose estimation methods, YOLO, image segmentation), statistics (covariance, p-value, distributions), classic machine learning algorithms (SVM, clustering, linear regression), deep learning, regularization methods. The coding question a typical leetcode question (easy level).
avatar

Applied Scientist

Interviewed at Amazon

3.5
Mar 5, 2022

They asked a lot of behavioral questions. Regarding the technical questions, they asked computer vision (6 DoF pose estimation methods, YOLO, image segmentation), statistics (covariance, p-value, distributions), classic machine learning algorithms (SVM, clustering, linear regression), deep learning, regularization methods. The coding question a typical leetcode question (easy level).

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