Please describe an advanced machine learning method, more advanced than CNN or RNN.
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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.
First question I was asked in the first interview since I had a Computer vision project was that how does different layers of CNN work and what will happen if we remove them ?
What is the complexity of this algorithm?
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