Coding and system design were typical questions you'd see on leetcode or career cup
Machine Learning Internship Interview Questions
8,197 machine learning internship interview questions shared by candidates
On-site interview had a combination of Deep Learning frameworks specifically Tensorflow, Keras, Pytorch, data structures. The languages used were C++ and Python. The other part of the interview was based on the theory of neural networks like Gradients, hyperparameters, convolutions, pooling, error rate, weights, etc.
ML take home test of image classification. There is one catch they write that they don't care about accuracy but actually they judge based on that. So don't believe on what is written.
Bias and Variance trade-off in machine learning
How do you build a system similar than Netflix?
Write an SQL query to carry out inner join The answer written below was marked wrong by the interviewer but its actually correct. I can say this because I, myself have executed in MySQL
Explain any of your project?
Esperienze lavorative pregresse, frameworks Python vari ed eventuali
They asked questions about java and what is inheritance.
Based on the provided architecture, does addition of layer "*insert a name*" to the CNN architecture helps to bring the desired output?
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