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
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.
get value from json api, maximize stock value from day trading
can't tell. NDA
Answer 50 questions in 15 minutes
Have you mentored anybody in the past ? If yes, How [Explain and further why questions on that ] How did you adjust yourself for mentoring someone? Did you have experience where you r mentoring didn't work for you and if yes, what did you do that in scenario ?
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.
how do you find an element in a sorted list that has been rotated around
How would you design a machine learning system to perform the task of predicting whether a person will engage an article or not?
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