Google

It was a tough interview based on concepts. It focused on skills and knowledge overall, and was a great experience for a first-time interview. I cleared the first two rounds but did not do well in the last round.

The interview process consisted of three stages. The first was a coding challenge that tested problem-solving skills with algorithms and data structures. The second stage was a technical interview where the interviewer focused on machine learning con

The first interview was a peer interview. I was asked questions about ML/AI: * Explain the precision/recall tradeoff. * What is the F1 score? * How to deal with overfitting? * How to deal with certain situations of model training?