What is the purpose of regularisation in Machine Learning?
Lead Data Scientist Interview Questions
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The first task was to simulate diffusion limited aggregation, which isn't difficult itself. The second task is to simulate and estimate sticking probability for an aggregate. Each simulation will take hours and this is not worth it.
Difference between boosting and bagging algorithms
What is Data Science and ML? How would you go about building an algorithm to measure complexity of written text for language learners? How would you approach a first meeting with a Head of Marketing at a large bank interested in the platform. Demo the product to a client X.
Tell me about yourself and your work background.
What problems can AI solve?
Could you present to us something you've previously worked on
Fairly standard tech interview, a bit light on the coding side.
What is regularization and why is it important?
None question at all during.
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