Describe bias variance tradeoff? How would you handle an imbalanced dataset?
Applied Scientist Interview Questions
1,160 applied scientist interview questions shared by candidates
Statistics, Coding, and Data Science
ask for the computer vision algorithms like ResNet block, how FRCN works, and how yolo works, and what is their difference, after then we did a quick leetcode test (rotate the 2D matrix 90 degrees).
Explain how logistic regression works. Describe a recent ML project I did.
Describe your previous projects? What did you like in them?
Explain a machine learning project you’ve worked on. What were the challenges, and how did you address them? How would you approach building a recommendation system for a new product? Discuss the trade-offs between different machine learning algorithms (e.g., decision trees vs. neural networks). How do you handle missing data in your datasets? Explain the concept of regularization and why it’s important.
How does a Transformer work
It wasn’t leetcode style question
Explain regularisation procedures in deep neural nets
1. Leadership principle questions (around 2) with follow-up questions. 2. Basic ML questions. 3. ML use case problem with follow-up questions.
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