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8,197 machine learning interview questions shared by candidates

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?
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Senior Machine Learning Engineer

Interviewed at Typeform

3.3★
Sep 1, 2020

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?

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).
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Machine Learning Research Engineer

Interviewed at Graphcore

4.5★
Jun 4, 2021

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).

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