General deep learning questions (dropout, regularization, overfitting)
Machine Learning Scientist Interview Questions
467 machine learning scientist interview questions shared by candidates
Advantages of logistic regression vs Random Forest
What is your PhD project? Past job experience etc.
Explaining how ML models actually work
Technical test was about solving a machine learning (multi-class classification) task.
I was asked to describe when I had applied machine learning algorithms at work.
Sehr technische Fragen bezüglich den Paper.
Each interview was with a totally different person and pretty distinct. It helps to be familiar with data science and engineering and academic research. Was asked to design a database as well as some numerical code in ds interview.
In the second half of the interview, I was asked to design a recommendation system for confluence, to recommend articles. NOTE: They say that they ask system design question according to the resume or our previous experience, but I havent worked on a recommendation system previously. So it might be a question based on the teams requirement. The interviewer mentioned that he has experience working on recommendation and it is his field of expertise.
Can not disclose due to NDA
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