Project deep dive; MLOps experience; System Design (Harmful content)
Machine Interview Questions
10,792 machine interview questions shared by candidates
Are you familiar with pytorch?
Can you give an example of a time when your disagreed with your immediate supervisor?
What did you do in your previous internships
Explain formulas and working of SVM, Naive Bayes, k-means, KNN, etc.
Questions mainly on array operations and graphs, concepts of OS , challenges in relation to your previous work/projects (and how you resolved them).
Usual Assumptions of Linear Regression
More related to how to structure data.
How can we optimize the space-time complexity of this algorithm?
1) About the online assessment, I cant describe problems due to terms and conditions. They were typical medium leetcode problems, algorithms and dsa 2) During the phone interview was asked about how I imagine myself working there, what are my expectations and I was said what it is like working there. 3) ML technical questions, like transfer learning, computer vision operator filters, metrics, spectrograms, segmentation, python generators and oop
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