*Como você reduzia o overfitting de um classificador?
Data Science Interview Questions
10,879 data science interview questions shared by candidates
asked some machine learning and statistics questions. Like what is GBM? How does it work. Provide detail of the algorithm and how you assess it accuracy. The also asked on describing steps to building a model. Like what is your dependent variable, what is the definition, why you pick this definition.
Write a queue.
How have you applied materials engineering concepts in a hands-on role?
I was asked to explain one of my machine learning projects from a big data point of view as in the speed variations in spark vs hadoop etc
What is the difference between L1 and L2 regularization?
Print Second largest number in the array
We want to learn about you. Tell us about how you manage test designs.
Walk me through one of your projects on your resume? (2nd round)
Had an HR round and then a technical round where we talked about projects and then a case study. The issue is that the case study is a tough problem that they are dealing with; that is, something they have a whole team dedicated to and have been thinking about for months to years. Yet you are supposed to solve it in just a few minutes! So it really is not a fair assessment but that's how all tech interviews are today. One thing was the interviewer kept interrupting and didn't let me finish so I just figured he was trying to drive me toward to a set of exploratory questions on the case study. I did answer every question but got turned down.
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