What neural network architectures are you familiar with
Data Scientists Interview Questions
54,361 data scientists interview questions shared by candidates
How did u handle failure?
How do you evaluate Gen AI models?
This ridiculous screening test with many random unrelated questions
1. basic and from resume 2. from resume 3. presentation 4. ML depth 5. LP 6. Coding round 7. ML Breath 8. HR -- LP
Find a path through a grid maze.
Dsa Questions: No of employees under each manager and stars question. Ml round: Breaths and depths of ml, Depth questions on your projects.
"How does a logistic regression model know what the coefficients are?"
How to build a classifier to distinguish between different possible locations where an audio sample was recorded?
I won't give details about the question as I respect the confidentiality of the interview. However, to give a general feeling, I think it doesn't hurt to mention the following. For example, code a class that implements a very popular ML algorithm. Even if the algorithm is very simple there are lots of possible improvements and generalisations, how to make it robust, efficient etc. Same thing for a class storing common data formats: dataframe, time-series, etc... how would you efficiently code access methods and/or storing according to the features of these data types?
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