Stats chapter:
How does the estimate from the random samples change if we simulate more data with data=matrix(rnorm(6000,mean=200,sd=70),ncol=6)
should be
How does the estimate from the random samples change if we simulate more data with data=matrix(rnorm(6000,mean=200,sd=70),ncol=6) keeping the number of samples per dataset constant, as n=6.
unsupervised learning chapter
reconstruction question should be:
Our next tasks are to remove eigenvectors and reconstruct the matrix using SVD, then calculate the reconstruction error as the difference between original and reconstructed matrix. Remove a few eigenvectors, reconstruct the matrix and calculate the reconstruction error. Reconstruction error can be euclidean distance between original and reconstructed matrices.
Stats chapter:
How does the estimate from the random samples change if we simulate more data with data=matrix(rnorm(6000,mean=200,sd=70),ncol=6)
should be
How does the estimate from the random samples change if we simulate more data with data=matrix(rnorm(6000,mean=200,sd=70),ncol=6) keeping the number of samples per dataset constant, as n=6.
unsupervised learning chapter
reconstruction question should be:
Our next tasks are to remove eigenvectors and reconstruct the matrix using SVD, then calculate the reconstruction error as the difference between original and reconstructed matrix. Remove a few eigenvectors, reconstruct the matrix and calculate the reconstruction error. Reconstruction error can be euclidean distance between original and reconstructed matrices.