Talk about using Kendall tau and how does it lead to identification of distribution change.
Applied Scientist Interview Questions
1,182 applied scientist interview questions shared by candidates
Many Machine Learning related questions and a code exercise of sorting elements in a string and counting most frequent tokens.
Describe bias variance tradeoff? How would you handle an imbalanced dataset?
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
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