Why do we need residual connections in a Transformer
Learning Engineer Interview Questions
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the first interview is a coding questions which could be labeled as difficult in leetcode. It is kind of like a variation of lowest-common-ancestor-of-a-binary-search-tree question.
1 leetcode coding question and 1 deep learning question. I got asked a leetcode hard and a deep learning attention question.
Director Round - Where roles and responsibilities were discussed. - They are expecting candidates should work more on the Python Backend work and a bit of Machine Learning work if any project turn up from client side. So somebody who are in to core Machine Learning, better stay away from Soroco as the job role is not so interesting as the JD says. I guess JD was copied from some other company's JD :P After this round, it was clear to me that they don't have much Machine Learning related work.
1. Questions about FasterRCNN and other object detection algorithms. 2. How to design a recommendation system for recommending similar T-shirts based on the viewed product as in e commerce websites. 3. In depth questions about CNNs
How do you handle overfitting in a machine learning model?
Leetcode: LRU cache, top frequency k elements
Two coding questions, one easy and one medium
What is MMOE and any other multi objectives algorithms?
How to deal with imbalanced datasets
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