1. Tuple vs List in Python. 2. Easy algorithmic question. I had about checking if the string is correctly formatted by parenthesis (open and close correctly). 3. Why do we have different activation functions? 4. Use-case of designing a Video-based ML system, from getting the data to model deployment.
Debrief maison : connaissance en search engine (learning to rank, MAP metric...) ML fundamentals: Naive Bayes & cie System architecture: Architecture diagram to complete
ML: Precision and recall, feature selection.
Project related. what are transformers?
We covered multiple technical questions regarding machine learning basics and some details of my previous analytical work. One of the questions that made the most impact, though, was a question during the behavioural interview about something that wasn't necessarily on my CV but that I would want someone to know about me or thought was important about myself (I have probably gotten the wording slightly wrong). I thought that was a great start to a conversation!
How would you train a RAG system to work with huge amounts of documents
can't tell. NDA
Answer 50 questions in 15 minutes
1. With a spreadsheet as input, calculate the values of all cells using reverse polish notation. 2. You have a scatter of x,y points. The points are noisy representations of two lines. Implement an algorithm that will calculate the parameters of the two lines given only the points.
I had intro HR round, then a talk with head of data science and a live coding task. You get some data samples to analyze the coding task. I got really nervous and screwed it up but if you have any kind of data analysis and hold your never, you will be fine.
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