Job Interview Experience For The Role Of Data Scientist at Google
1. Why do you use feature selection?
2. What is the effect on the coefficients of logistic regression if two 3. predictors are highly correlated?
4. What are the confidence intervals of the coefficients?
5. What’s the difference between Gaussian Mixture Model and K-Means?
6. How do you pick k for K-Means?
7. How do you know when Gaussian Mixture Model is applicable?
8. Assuming a clustering model’s labels are known, how do you evaluate the performance of the model?
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