How BERT works; code simulation of discrete probability distribution
Applied Scientist Interview Questions
1,164 applied scientist interview questions shared by candidates
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?
Why do we divide by the root of the dimensionality of the Key tensor in attention?
One DP question and basic ML questions.
How would you design and evaluate a machine learning model to improve product recommendations on Amazon
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