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
what would i do if differently compare to the jobs i work at
We just went over my resume and they check my work history and the duties of each postion that I have stated on my resume. The Staffing Agency asked if they could contact me prvious employers and I staed that they could.
What would say is a strength you have?
How do you build a system similar than Netflix?
are you available to work any shift?
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?
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