leetcode questions, standard ML systems design.
Machine Learning Researcher Intern Interview Questions
1,816 machine learning researcher intern interview questions shared by candidates
image classification
Basic data science questions (the bias-variance tradeoff, value of random initialization), RNN basics, backpropagation.
I cannot disclose the questions.
Given a DNA test result of a patient, how to design a ml system to detect cancer from the DNA result, knowing that cancer only affect a very small portion of the DNA?
What are your strengths and weaknesses?
Can you explain the difference between supervised and unsupervised learning? How do you handle overfitting in a machine learning model? Describe a machine learning project you’ve worked on and its biggest challenges. What are the steps you follow for feature engineering? How do you evaluate model performance? What metrics do you use? Can you explain regularization techniques like L1 and L2? How would you scale a machine learning model for large datasets? What’s the importance of hyperparameter tuning, and how do you approach it? Describe the difference between bagging and boosting. How do you deploy machine learning models in production?
If I have x, and y coordinates of the original image, now if I horizontally flip an image then what will be the coordinates of that point in a new image?
Resume based questions and how did you hear about altice
Describe your project? MLflow, how to do deployment end to end
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