CNN mechanism, filters, pooling layers, Transformer mechanism, positional encoding
Machine Learning Internship Interview Questions
8,202 machine learning internship interview questions shared by candidates
1. Explain the E2E architecture of a multi-agent system that you have built? 2. Explain how BERT works? 3. How do you evaluate RAG system?
How does K-means algorithm work
Explain your current role Questions related to experience and current role.
Q: Describe yourself? Q: What project are you the most proud of?
Describe a time when you disagreed with a stakeholder.
Take us through a project you've worked on.
Phone: Decode string, e.g. input “3[a2[c]]” output “accaccacc” What if the string is a stream that is not able to fit into the memory? Onsite: LRU Cache Implement KNN, bias variance tradeoff, why curse of dimensionality, discussion of convergence of sgd (or gd), why cross validation Min height tree
What is the difference between a batch model and a streaming model?
Auto regression
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