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
Which methods could be used to improve quality of NN?
Describe a time where you had to be resourceful to achieve a project outcome.
General ML and DL questions.
How would you prevent overfitting
Coding: 1. Linked list from scratch 2. Leetcode House robber problem Theory: LLM: Transformer architecture in depth Deep Learning: CNN, layers, activation functions, loss functions ML: Decision trees and random forest
implement k-means with native python
Fairness ranking of search results
1. Code Autocomplete feature 2. Find a unique character from the list of strings
classification NLP home-task: classify user intents based on chat messages in banking app. Then, technical interview with accent on metrics, how this solution could be applied in real system and how communicate results to products.
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