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.
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?
Build an RL agent to solve a maze problem.
They asked about cold-start problems for user engagement on their app
Viewing 561 - 570 interview questions