Questions about python, Machine Learning, whether papers had been published, questions on recursions. Oddly enough, the questions were simple... However, one person spoke very bad english and it was not possible to understand what he was saying. In Machine Learning there are a lot of acronyms PCA, R^2, TSNE, ReLU, Sigmoid... but for the life of me I couldn't understand what the person was saying.
Why I am interested in their company?
Please describe an advanced machine learning method, more advanced than CNN or RNN.
They will ask you if you can show up to work on time and not be late. They will ask you if you have reliable transportation.
Do you have any experience with hp machines.
Basic questions from : Bias and Vairance trade-off, CNN, SVM with a little twist. Decision Tree, Random Forrest. Pros and Cons of these techniques. Detailed discussion on any Deep learning Architecture. ex: Transformers, wav2letter++ etc.
Are you dependable
What shift to you want to work?
How would you create a text file uploading backend and relay progress of a "ml process" back to the UI.
one code test with 20 mins
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