Linear Regression Assumptions, Boosting and Bagging. Regularisation, Feature Selection Methods, Forecasting
Senior Data Scientist Interview Questions
3,367 senior data scientist interview questions shared by candidates
Laughably easy/bad,, And I was worried I couldn't implement transformer architecture on the fly. simple tree manipulation extract text from pdf
Then, he asked what if the cost of false positive is 0?
SQL question that involved window functions
Describe your previous projects
I was asked to complete a complex and open-ended data science task. Really used the full range of my data science skills.
what are the commonly used activation functions in Neural Networks?
Behavioral question: Give an example on one of Convoy's core values "Challenge Ideas, Respect Decisions".
academic-like questions where you could just look up the answer. just memorize a thing or two about the basic algos like neural nets, random forests, svm, linear regression. that satisfies their data scientists.
The technical test consisted of writing code for finding statistically significant cell expression for different genes which were knocked out as part of a microarray experiment. This code was expected to work with their internal data.
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