the last interview (final) was weird. It felt as if they were delibralatty asking irrelevant questions. 1. Assumption of k-means clustering 2. what is logit function, write down the equation. 3) Formula for anova - i mentions test statisic was SSB/SSW - but he wanted theoritical answers. This particular person is a VP in Mumbai, calls himself data scientist but feels like a college professor.
2 hackerrank questions and 1 data exercise.
Why did you apply for this job with us?
A case study related to company's product. Some statistics knowledge embedded.
Presentation
Describe your last project
Describe for me in detail the difference between L1 and L2 regularization, specifically as regards the difference in their impact on the model training process itself
Do you have a PhD? And additional certification? But what courses you've completed?
Some obscure question about database stuff. It was a question about like a very specific shortcut you could use in some platform
if the police says on everage each day a home have a robery in the city, then how many robery per year to have a 90 percent confidence interval
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