Example of supervised and unsupervised
Ml Engineer Interview Questions
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What are stemming and lemmatization
- General ML - SQL - Area specific deep dives
Gen AI, Agentic AI related.
Can you give an example of a project where you analyzed data to drive business decisions
Genai RAG Pipeline, LLM, Prompt Engineering
Will you opt for night shift
Tell me about a time you would have chosen one model over the other.
Some questions that were asked: - Can you perform linear regression when two features are identical? - How would you train a logistic regression model when you have many more 0’s than 1’s in your training set? - What are problems with drop-out regularization and how are they tackled? - Why does L2 regularization work better than L1 regularization? - What are random forests? The interview ended with a programming challenge on a (virtual) whiteboard. It was a hard challenge that I could not solve within the ca. 10 minutes that I was given. Having two people watch what you type of course doesn't help.
Please tell me about yourself.
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