Python coding task (e.g., implementing K-Mean
Applied Scientist Interview Questions
1,167 applied scientist interview questions shared by candidates
Fine tuning of large language models.
2 Leetcode problems, related tp graphs. And one question related to their Amazon Air Prime project.
How BERT works; code simulation of discrete probability distribution
Some Machine learning basics, plus a coding question to traverse a binary tree
LP questions. And 30 mins later is all about technical questions
Solve OLS/ridge regression in numpy - with gradient descent and closed form solution.
graph related problems, like how to return all the out edges
Describe a situation when you failed
How do you account for confounding including unobserved confounding? How would you design an experiment in this setting? What are some loss functions and what are their applications?
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