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Learning Developer Interview Questions
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An initial round (background/ profile based), a simple classification problem as homework, a technical interview (mostly based on how the solution was framed for the homework), an interview with a non-technical person, and a final round with their co-founder. 1. Why does multicollinearity happen in regression? 2. Working of boosted trees 3. Types of regularization 4. Overfitting and underfitting
Burning Wire Problem was asked 3 bulb puzzle was asked
Examples of work would help Models used in your line of work
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comment fonctionnent exactement l'algorithme LGB
Phone screening stage covered basic generic ML questions
Given streaming data, how would you keep track of the median value?
What are your weaknesses in the role you are applying for?
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