machine learning questions

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The solt-margin formulation for a support vector machine is the following: : nin 21wTw+Ci=1Ni s.t. wi(wTxi+b)1i,,Vi0,i Question 13 2 What happens to the margin as C soes to infenity? A. Schaves Se a hart ininin. a. The mingh ahe poes tointrit: C. Temenunges to vero. a none of the wers. Which of the following is TRUE about Principal Component Analysis (PCA)? PCA is a type of unsupervised learning. PCA is a method for dimensionallty reduction. When you do not have the covariance matrix of the data, you can compute the singular value decomposition (SVD) instead of PCA. The SVD is always faster than PCA. Which of the following is TRUE about unsupervised leaning? Unsupervised learning requires labeled observations. Clustering is a type of unsupervised learning. Unsupervised learning does not require labeled observations. Unsupervised learning is less accurate than supervised leaming