ML Theory: Tested theoretical knowledge and core basics of Machine Learning. Topics on logistic regression, different types of loss functions, bias, variance, neural networks, regularisation and its usage.
Learning Technology Interview Questions
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ML Practical: Design a system for fraud detection (when the customer is fraudulent).
NDA: Technical challenge - time limited
Decribe how to create an e-learning module from scratch?
All questions were about my projects.
What you can bring to table as an applicant
They asked about classical machine learning then the field that you continued your study in.
Topics: growth mindset, feedback, adaptive communication, ownership
More statistical questions and presentation
What is one special project you have completed?
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