data structures, running time and complexity in different situations and then gave me a tree problem to solve.
Ml Engineer Interview Questions
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Given a very unclear problem statement with no inputs or outputs specified
They asked me on the nlp side Skipgram and cbow
Topics covered generic software development, software architecture, machine learning theory, previous software and research experience
Puoi spiegare il concetto di Regularization nei modelli di Machine Learning? Quali tecniche conosci e quando le utilizzeresti?
On ML, NLP, MLops, Azure
Questions were asked based on my resume.
Analyze and provide insights (plots, counts, etc.) for a synthetic hospital dataset (~25 columns and 70K rows]
Interview questions was very easy. They ask only basic programming concepts.
Do you work in MDP Umich
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