Boosting, bagging ,random forests , regression
Senior Scientist Interview Questions
5,838 senior scientist interview questions shared by candidates
Mostly related to projects and Machine learning algorithms.
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1. "Explain the tradeoff between bias and variance." 2. "Explain what regularization methods are." 3. "Explain how to build a decision tree." 4. "Explain the difference between bagging models and boosting models." 5. "Explain the difference between GRU and LSTM models." 6. "Explain the difference between a CNN and RNN model." 7. "Explain how transforms work." 8. "Explain how BERT works."
Statistics Related Questions.
Database, machine learning modeling, oop
Some problem statements regarding NLP and Statistics.
Typical SQL questions (percentage and ranking) and data wrangling focused on aggregating granular data to make it ready for analytics
I didn't make it to the Interview Stage
How much experience do you have interfacing with other departments in a production environment?
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