Machine learning engineer Interview Questions |

Machine learning engineer Interview Questions


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Given a Jupyter notebook with code to load a classifier and images, there is a bug on inference. Find it and explain.

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The team wanted to know how I approach the problem, what I look at and drill down. Is the bug in the code, the data, the pre-processing, etc? A quite fun exercise. I solved it, but did not excel at it.

Given some ML-related source file, explain it. What does it do? How does it fit a project?

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Two classic "leetcode" style questions, one involving a binary search and the other dynamic programming. Prepare using the classic resources available online and you will be fine.

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Build, train, and test a classifier on a given dataset.

how to handle an unbalanced dataset? Corrupted Labels? Loss Function, L1 L2? Batch Norm?

When a normal distribution is said to be skewed

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