Tell us about a time that you did xyz at work... even if nothing remotely like this ever happened.
Machine Learning Engineer Intern Interview Questions
8,199 machine learning engineer intern interview questions shared by candidates
How to design a software to detect fraudulent transactions given a labeled dataset
Which would run faster, a RNN with LSTM or Attention (he meant Attention based Model such as Transformers but didn't clarify).
Which would run faster, a RNN with LSTM or Attention (he meant Attention based Model such as Transformers but didn't clarify).
Describe to me what up-sampling is in a convolutional neural network.
Explain knn algorithm in detail and how it works?
- 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?
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
If we train a network using only one image of cat. What is the output if we flip that image?
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