Describe advantages and disadvantages of the XGBoost algorithm
Machine Learning Interview Questions
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Asked about training pipeline
1. Custom named entity recognition model
Asked about my background. Asked about which potential projects I was interested in from the list. Asked some basic questions on ML fundamentals (i.e. How are bias and variance related to over/underfitting) and a few more in-depth questions about specific algorithms (difference between GRU and LSTM).
Q: How do you evaluate the performance a classifier?
What metrics would you use for a ranking algorithm
Talk about the Bias-variance trade-off
How would you build a recommender system for the Expedia webpage
LC easy + medium
What do you know about Ather Energy ? Any questions about the job or company ?
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