For a convex loss, stochastic gradient descent is likely to take less iterations to converge than gradient descent?
Jefe De Datos Interview Questions
511 jefe de datos interview questions shared by candidates
The predictions of a Decision Tree fitted using the L1 loss are taken by the mean of its leaves?
The VC-dimension of a KNN k=1 is larger than that of any linear regression?
In reinforcement learning, an epsion-greedy policy with constant epsilon will have linear regret?
A description of the past projects and the challenges faced while implementing the projects.
Tell me about a time... Describe in detail your last 3 production deliverables, what the problem was, how you approached it and what you did to solve it.
What are some non-parametric methods of estimation that you could apply to the example business problem?
What metrics would you track in a particular A/B test? What metric/s would you optimize for?
There were no specific interviews conducted as I explained earlier.
Data Science challenge will be based on a dataset provided and you have to apply your stats and coding skills. Power Day will also be highly based on statistics knowledge.
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