What is the difference between supervised and unsupervised learning? What is overfitting, and how can you prevent it? What is the purpose of splitting a dataset into training, validation, and test sets? How do you evaluate a classification model? Name some common metrics.
Describe model training life cycle. What tools would you use for model monitoring and testing. Questions about MLOps with Azure mainly.
Name a time when you were working on a team and had a difficult team member.
what makes it different in bcg
It was mostly a conversational interview where the recruiter asked about the technologies I used and if I was familiar with the technologies they are planing to use.
Relevant job experience to the role
Difference between supervised and unsupervised.
Previous Project related questions.
How to deal with unbalanced data sets for classification tasks?
1. how is DBSCAN a better clustering algo than kmeans? what is limitation of kmeans?
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