Question 10 In practice, when you are implementing your regression or classification tasks with your feature...
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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 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? 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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