How would you design a recommendation system (like amazon)?
Machine Learning Internship Interview Questions
8,188 machine learning internship interview questions shared by candidates
My projects
Questions were all about the different machine learning algorithm, like MLP, SVM, kNN, CNN, and ... The interviewer was interesting to know how I implemented the algorithms, what type of data set (numerical or text-based) data that I used, and the accuracy that I obtained. It was no routine software engineering question about the data structures, algorithms, or programming languages at all. It was a very straightforward interview, low stressful, and friendly interview, all based on my own resume.
Fix a piece of sh*t code that just request data and save it to MySql. Super easy and easy to fix so I don't know what is the point of the interview. Totally a sh*t experience.
What you did professionally that is related to machine learning/data science position?
Can you explain how a binary-tree works and what are some uses of a binary tree?
Given a number, how to find a closest number in a series of floating point data.
A sensor passes incoming data every 10 secs. We have to calculate daily average. What GCP component will one use to store data and how will scheme be designed
List connected cells in a binary matrix
If you had multiple job offers of comparable benefits and salary and work, what would be the aspect that of one company or another that would be your final deciding factor?
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