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Question 10 In practice, when you are implementing your regression or classification tasks with your feature matrix X of size N x M, N

Question 10 In practice, when you are implementing your regression or classification tasks with your feature matrix X of size N x M, N is the number of training samples and M is the number of dimensions/features. If you encounter the computational error "matrix is singular": 1. What can you infer about the feature matrix X? 2. What should you do to solve the problem?

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