xyqzki的专栏

对于input的m个vectors xi∈Rnx_i\in\mathbb{R}^n, i∈[0,m−1]i\in[0, m-1] sparse coding : 找over-complete 的basis vector，k>nk>n, 升高维度, 并使得转换后的vector x^i\hat{x}_i尽量sparse,pca: 找 complete的basis vector， k<nk<n, 降

link: http://ufldl.stanford.edu/tutorial/ 1. linear regression use MLE to understand the loss function 2. logistic regression— binary classification use MLE to understand the loss function