Initial screening was about my projects, future goals and motivations. Assignment was regarding problem with mnist.
Machine Interview Questions
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Pros and cons of different generative models (e.g. graph diffusion, text-based transformers etc.) used in the biopharmaceutical industry. Ways to improve model throughput.
Regularisation selection of multiple features but few on informative data, ROC/AUC for binary classification and imbalance dataset
Tell me about yourself & your career, interests, why Novo? Expected salary.
Tell me a situation where you had a trouble with a fellow employee
How do you do model post monitoring What is feature store, do you familiar with open source feature store.
Warum haben Sie sich für MHP entschieden?
Warum möchten Sie als Consultant arbeiten?
What is overfitting? What is IAC? Some ML deployment questions
tell me about the time when you disagree with your team member
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