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Learning Engineer Interview Questions
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Code review on 50 lines of python code
What do you know about Machine learning?
Imagine that during training, your model (a neural network) reaches a local minimum. Would you prefer the minimum to be in a "sharp, narrow" or in a "flat, wide" "valley" and why"?
Probability question on some complex roll-a-dice or coin (i.e. combinatorics) - like compute a probability of an event.
what is the difference between catboosting and lightgbm.
Questions will be based on the take-home technical assessment.
Resume, Spring, ML, Data Science, Python and Behavioural
The programming test was written: three exercises.
Second Interview Question: Given a 2D binary matrix, write a solution to make the image symmetric along the X and Y axes. The only operations allowed are full row and full column insertions without modifying the values in the original matrix. The goal is to find the minimum number of row and column insertions.
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