Walmart Data Science Interview Questions
Detailed Article: Walmart Data Science Interview Questions
My AI Interview Questions articles for Microsoft, Google, Amazon, Netflix, LinkedIn, Apple, Facebook, Salesforce and Uber have been very helpful to the readers. As a followup, next couple of articles were on how to prepare for these interviews split into two parts, Part 1and Part 2. If you want to find suggestions on how to showcase your AI work please visit Acing AI Portfolios. For Career Insights check out the expert interview section.
1. What is the difference between Gradient Boosting and Random Forest?
2. What are the different types of Sampling methods that you have used?
3. Explain the difference between bagged and boosting models.
4. What is cross entropy?
5. What is multi-collinearity, how do you fix it in a regression?
6. What is the significance of log odds?
7. What is the relationship between sample size and margin of error?
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