The most comprehensive bank Interview Answer Review tooling available online.

What would you do differently to improve Yandex?

Describe your work experience in a couple of minutes

What are the typical steps you follow when wrangling and cleaning data for machine learning applications?

If a product launch is imminent, but the usage metrics are dropping, what would be your recommended course of action?

Could you provide an example of a probability distribution that doesn't fall under the normal distribution category? Additionally, Can you specify a scenario where this probability distribution would be suitable?

How would you compare and contrast the parametric and non-parametric statistical approaches, and why might one approach be preferred over the other in certain research situations?

Can you explain to me why you think Yandex is the right fit?

What's your method for unpacking a string with compounded parenthetical expressions like “2[a3[b]c]”?

Can you walk us through bias and variance in the context of decision trees? And, if possible, could you clarify which one is more difficult: high bias or high variance - and why that's so?

Could you tell us why you'd make a good fit for Yandex?