Amit Rajan

alternate-hypothesis applied basis basis-function bayes-theorem-for-gaussian-variables bernoulli-distribution binomial-distribution bishop cdf classification column-space conceptual confidence-intervals conjugate-prior cross-validation determinant dimension eigenvalue-decomposition eigenvalues eigenvectors exercises expectation-maximization exponential-distribution feed-forward-network gaussian-distribution gilbert-strang graphical-models hypothesis-testing islr kernel-methods lagrange-multipliers least-squares linear-algebra linear-equations linear-model-selection linear-models linear-regression logistic-regression matrix-factorization matrix-multiplications matrix-space maximum-likelihood-for-the-gaussian maximum-margin-classifiers mean mixture-models mixtures-of-gaussians moving-beyond-linearity multinomial-distribution neural-networks normal-distribution null-hypothesis null-space one-tailed-test pattern-recognition pmf power probability-distributions projection random-variables regularization resampling statistical-learning students-t-distribution subspace support-vector-machines support-vectors think-stats tree-based-methods two-tailed-test unsupervised-learning variance vector-space