1) Explain Decision trees, how how would a tree split numerical data.
Learning Engineer Interview Questions
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Machine learning algorithms. Difference between bias and variance. How do you train a model from the start.
What is LSTM and GRU
Describe your favourite ML algorithm. I described SVM's operating principle.
4) What is loss function and activation function? explain this W.R.T back propagation in NN
What is your favorite machine learning method? Describe it to me and explain why you like it?
Asked some basic Python questions about syntax and generators. Take-home assessment was about 5 hours long and consisted of a supervised ML problem. Incorporated skills that they looked for in an ML SWE.
Run of the mill interview.
basic ML and DL, SGD, ML vs DL
Technical coding test using HackeRank
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