Where does Deep Learning offer advantage compared to SVMs? Is the cost function of a DNN model convex? What about for SVM? Tell me about how you have implemented a research paper (mentioned in my resume) Basic questions about linear and logistic regressions - about their assumptions, advantages etc Overall, the questions weren't too deep.
In the interview they asked more about product analytics question. Basically they gave a scenario and asked what features can I add to improve business outcomes.
1st round: Interview with the hiring manager operating from abroad , this round generally check you projects skills, work experience and check how you're suitable for this position. 2nd round: There is online assessment by 3rd party (logical reasoning, quants) 3rd round: Technical round with Data Science lead
Build a pricing algorithm with an RMSE below a certain threshold.
They asked me to set up a function that created a classifier model and the tested the predictive accuracy.
What is a date and time that you would be available for a phone or Skype call?
If you are comparing booking rate, what test would you use? What is the function to write that in R or python?
What tools are you looking to become more familiar with?
How do you calculate linear regression (i.e., what function is optimized/minimized to create a linear regression model)?
Asked about the projects I have worked on along with the underlying concepts.
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