Broad ML questions + 1 coding question
Machine Learning Developer Interview Questions
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In DSA round they asked 1. create bst from preoder traversal of tree 2. return list of greater element next In system design they asked for creating image search engine from text description overall out of 4 hours ml discussion was of half hour and out of 4 hours 1.5-2 hours were on vague behavioural questions
Can't disclose the experience here
Difference between generative and discriminative classifiers
Q: Explain me in details one example of your work in the Machine Learning field.
please introduce about yourself in detail..
Parse some data using Python
Behavioural: what is ur interest in the company, etc - very conversational.
What are the features of machine learning workframes
A lot of NLP basics in the coding interviews, like separating bi-grams and tokenizing a text using specific requirements.
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