All the interviews were very thorough from a scientific and technical perspective. I particularly enjoyed discussing computational medicine and advanced statistical learning, such as normalizing flows, Bayesian methods, and uncertainty quantification, with the researchers, the head of AI, and the CSO.
How would you tackle multivariate time series ?
Why choose Hengan Standard life?
Predictive maintenance related question and Competitive programming question - All possible combinations.
the question was about classification , I should classify number in a dataset in two group with the given specification
Walk me through your ML experience. Why Compass?
First step: About the projects that I did and my publications and research in details. Second step: coding challenge(took one week). NDA Virtual onsite: Creating presentation and presentation regarding the your coding challenge. Then three other interviews with the team members. They kept talking about their platform and how to improve their current system and how to include other features,... and no questions to evaluate my skills were asked. Tooo many interview steps for such a tiny company. They wasted too much of my time. All they're interested in is stealing your ideas to improve and fix their system. It's obvious that they don't have much money(hired people from India to pay the minimum salary). They make candidates work for them for free and implement what they want and get the codes and then gone!
Basic ML things such as loading images from disk, normalizing them, passing them through a pre-trained model, computing embeddings etc.
What are the dimensions of the product of two matrices?
What can eigen values of a weight matrix can fell you
Viewing 51 - 60 interview questions