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.
The questions are based around a personality assessment so are structured around a persons perceived "weak" points. The panel will have a set of questions which an academically validated platform prompts.
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.
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
dealing with unbalanced data for classification?
Problem1: K-th largest number in an array
Problem 2: Median of Median.
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