1) Build a production ready API with an ML model behind. 2) Explain the different optimization algorithms in DNN. 3) What are kernels and what is their use? 4) Why CNN's are translation invariant? 5) Review a Python module suggesting changes. 6) How would you regularize Random Forests? 7) How to make linear regression and Random Forests robust to outliers?
Tell me about your project.
Coding and DSA and Aptitude
Asked about my background. Asked about which potential projects I was interested in from the list. Asked some basic questions on ML fundamentals (i.e. How are bias and variance related to over/underfitting) and a few more in-depth questions about specific algorithms (difference between GRU and LSTM).
questions around device graphs. How would you use log in information and device activity to build a device graph?
rhombus sums, two sum, triplets in array, array problem with greedy / sorting
1. Reverse Sum: 51800—81500 2. push box 3. 112 12 13 312 3 12【112312】 4. n<= a[i]/i+1 <=m
Tell me how can you increase user engagement?
One coding question was asked during the phone screen. Although it was not from LeetCode, I discovered it in LeetCode discussions afterward. This question had been asked about six months prior.
Explain this code (ML code)
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