Assumptions of Linear and Logistic Regression
Scientist Ii Interview Questions
702 scientist ii interview questions shared by candidates
behavioral questions. leadership principle questions.
Project discussion, why not chosed some specific baselines which were naive, and philosophical questions like why the world is moving away from CNN or VAE or those architectures and coming to transformers like ViT, Catastrophic fogetting happens only due to LR in NN, which is a partial truth, Given PDF and RV, draw some specific number of points from it with a given list of probabilities, ROC-AUC, Evaluation metrics, Clustering algos, classical genAI algos, Dont quote anything mathematically but theoretically
Describe a project you were in charge of and how did it go?
- First round was a ~45-min presentation on a prior project. - One design question with the hiring manager seeing how I would approach the problem they are working on. This was the most technically difficult interview - One leetcode medium question with a software engineer. - Other rounds were a mix of behavioral questions and technical questions about CV/ML. - Each round had multiple behavioral questions (maybe half the time or more). I could tell they wanted me to be specific on my direct involvement and were gauging both how well I handled certain situations and how I could explain my core values. Overall not a very difficult interview, as long as you have solid examples for the behavioral questions/leadership principles. The technical aspect was actually far easier than several other non-FAANG companies I interviewed with.
why work here, motivations, inclusivity, methods used, kits used, relevant skills
How do you deal with stress in the workplace?
What is your long-term career goal?
why do you wan to move?
Explain about a DS project that you have completed? And some neural networks questions and clustering questions.
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