Questions will be based on the take-home technical assessment.
Machine Learning Engineer Interview Questions
6,173 machine learning engineer interview questions shared by candidates
The programming test was written: three exercises.
Resume, Spring, ML, Data Science, Python and Behavioural
A couple interview Qs I can remember are: What is the bias-variance tradeoff? What's a GBM and an example of one? What is under fitting and over fitting?
Sparse metric Multiplication, cosine Similarity
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).
How to design a software to detect fraudulent transactions given a labeled dataset
Explain knn algorithm in detail and how it works?
comment fonctionnent exactement l'algorithme LGB
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