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
614 senior machine learning engineer interview questions shared by candidates
Normal LeetCode Coding questions Implement a tokenizer Design a QA system
Explain the ROC and benefits of using the area under the curve metric
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 any machine learning algorithm in depth, mathematically.
Fill a bag with books that are assigned a weight and a value. Maximize value while keeping the weight under the weight limit.
leet code medium, resume questions, system design
What was the most difficult technical challenge you had to face
Tell me about yourself.
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