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Machine Learning Engineer Interview Questions
6,170 machine learning engineer interview questions shared by candidates
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?
How to make an adaptation of ASR system to new language on-device?
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
What would you to do deploy a complex ML model to an embedded system?
If a model performs very bad on training data, what could be the reason? How to fix?
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