1. Organizzare il codice in classi seguendo principi di software design (SOLID etc) 3. Qual è il tuo modello di deep learning preferito e perché, come lo metteresti in prod 4. Cosa cambieresti del processo nella tua azienda dal punto di vista del dato
Stuff about Spark, Kinesis, SQL, Tensorflow, PyTorch
Take us through a project you've worked on.
1. Custom named entity recognition model
Q: How do you evaluate the performance a classifier?
When you have a conflict with your colleagues.
The second round of coding consists of reviewing Python scripts and essentially debugging.
The technical hands-on interview was an exercise about data preprocessing and ML inference in Python on a pair programming platform.
Why do you think you are a good match for this position?
Went through my HackerRank, gave me a series of deep learning questions, then had me do a live coding test, but just in Notepad++, so no syntax highlighting, you can't run your code to test it, and they just watch you type the solution out.
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