Questions mainly on array operations and graphs, concepts of OS , challenges in relation to your previous work/projects (and how you resolved them).
Machine Learning Intern Interview Questions
8,202 machine learning intern interview questions shared by candidates
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
How to make an adaptation of ASR system to new language on-device?
If a model performs very bad on training data, what could be the reason? How to fix?
What would you to do deploy a complex ML model to an embedded system?
What is yur relevant past experience?
Decision tree and ensemble techniques. Naive bayes Bias variance tradeoff
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