Which would run faster, a RNN with LSTM or Attention (he meant Attention based Model such as Transformers but didn't clarify).
Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,203 machine learning interview questions shared by candidates
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
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?
remove duplicate in a string
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