One question they asked me was the difference between underfitting and overfitting in deep learning.
Learning Engineer Interview Questions
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projects and working experience on my resume
What is precision and recall
Theory on Transformers and the difference/similarities with RNN. System design to identify NSFW social media posts. Coding - take home code base to familiarise yourself with the problem, expected to redo everything from scratch during 45min (key concepts are asyncio, unit test, embeddings) Enjoyable exercise, but no time to think, you are expected to be a team member that uses this daily so can write and test code quickly.
Cannot disclose due to NDA.
Solve a usecase of a client, how would you apply Machine Learning in this case
technical questions about the presented task and solution, and also the usual questions about prevous experience, etc. No trick questions.
As-tu déjà travaillé avec les méthodes de TDD ?
Name a Deep Learning architecture you've worked with
Given the formula of a specific signal processing algorithm (which is brand new to me), write a function to implement it. (I forgot the name, but it should be just a little bit harder than implementing a image scaling function or blurring function)
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