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Machine learning assignment
1. Write a function to generate a data matrix X. Inputs: Number of samples, feature dimension. Output: Data matrix X. [1]
2. Write a function to generated dependent variable column t. [1]
a) Inputs: Data matrix X, weight vector for each column, bias w0, noise variance
b) Output: Target vector t
3. Write a function to compute a linear regression estimate. [1]
a) Input: data matrix X and weight vector w
b) Output: y
4. Write a function to compute the mean square error of two vectors y and t
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Mumbai
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