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