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
When can u start
- what is a support vector machine? - what's the difference between a Support Vector Machine (SVM) and a linear classifier? - why do I encode visual data and do not feed the SVM with raw information? - what are the convolutional neural networks and how do they work? - how would I treat a picture of a person that wear zalando clothes? - how could I deal with a multiclass classification problem with 1,000,000 different classes? - how could I possibly help zalando to improve their services?
Burning Wire Problem was asked 3 bulb puzzle was asked
Wat zijn je doelstellingen in dit bedrijf
Do you have plastic injection experience?
comment fonctionnent exactement l'algorithme LGB
Resume and recent project based question - hiring manager round
Phone screening stage covered basic generic ML questions
Tell me about yourself.
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