Problem Solving
How would you predict the amount of food to keep in storage? This was a fairly basic data science case.
ML / Algorithms
- Bias-variance tradeoff
- Curse of dimensionality
- Bagging versus boosting
- PCA
- Autoencoders
- Gradient descent
- How to keep gradient descent from getting stuck in a local minimum
- How to evaluate RAG
- Transformers versus RNNs
- How to calculate the complexity of attention scores in a Transformer
Results & Feelings
I felt that I had answered basically everything, but unfortunately I was still rejected.
Fortunately, HR had canceled the coding stage the day before. Although that made no difference to the result, at least I did not spend extra time preparing for it.
Overall, the topics felt numerous and scattered, and they clearly expected quick answers. There was not much room to explain the principles in depth; they basically wanted the answer directly.
All I can say is that I clearly still need a lot more practice.
Discussion
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