Machine Learning Engineer Mock Interview for Meta with ChatGPT

Machine Learning Engineer Mock Interview for Meta with ChatGPT

Venelin Valkov via YouTube Direct link

- Intro

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1 of 14

- Intro

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Machine Learning Engineer Mock Interview for Meta with ChatGPT

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  1. 1 - Intro
  2. 2 - ChatGPT Overview
  3. 3 - Interview Start
  4. 4 - Can you explain a specific machine learning project you have worked on?
  5. 5 - How do you handle missing or incomplete data in a machine learning project?
  6. 6 - How do you evaluate the performance of a machine learning model?
  7. 7 - Can you discuss a situation where you had to balance precision and recall in a model?
  8. 8 - What feature engineering techniques have you used and why?
  9. 9 - Write code in Python to generate a classification dataset with 3 classes and 5 features. You should be able to use the features to classify the examples.
  10. 10 - Use the dataset to train a 2-layer Neural Network with PyTorch
  11. 11 - Design a restaurant recommendation system
  12. 12 - You found that your system is overfitting. What might be the cause of that? What can you do to fix it?
  13. 13 - Will I recommend ChatGPT for Machine Learning Engineer?
  14. 14 - Giving ChatGPT feedback about the interview

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