ML questions about Logistic regression model, how to deal with imbalanced data? what's the evaluation metrics I choose and the reason. How to deal with categorical data, etc.
Senior Machine Learning Engineer Interview Questions
615 senior machine learning engineer interview questions shared by candidates
how do you find an element in a sorted list that has been rotated around
How would you design a machine learning system to perform the task of predicting whether a person will engage an article or not?
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.
ML Practical: Design a system for fraud detection (when the customer is fraudulent).
Explain the ROC and benefits of using the area under the curve metric
What was your most challenging project
Case study on designing ML system for customer churn. Asked conceptual questions on validation metrics.
ML background and experience in NLP
Explain any machine learning algorithm in depth, mathematically.
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