Why is ROC curve insusceptible to unbalanced dataset?
Sr Data Scientist Interview Questions
3,375 sr data scientist interview questions shared by candidates
Lots of useless stuff like cliched Engineering questions for stuff you'd never use in Data Science. Never in my more than five years of Data Science.
How would you assess the effect of having pictures on a menu?
Behavioural, technical, as well as hypothetical. Things such as: how would you approach solving this problem?
The technical interview focused on modeling techniques and my experience with NLP. The interview with the client was more in-depth, but met the requirements for the future role and corresponded to my knowledge and skills. There was also online coding - a task for general logic and knowledge of the basics of python.
Explain the projects from resume
Questions on foundation level data science.
Resume questions and deep learning based questions on recurrence, transformers, CNNs, math behind loss functions. Graph coding question but it wasn’t provided, he off the cuff spoke out a question I had to solve. Avoid.
array sorting and recursion type question
Some examples: - Describe the APIs you would implement to create a program that ran a game. - Given imbalanced data, walk through the process of building a machine learning model. - Calculate expected values for different distributions and scenarios.
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