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machine learning 讲义
.....................\cs229-Linear Algebra Review and Reference .pdf
.....................\cs229-notes10Principal Components Analysis .pdf
.....................\cs229-notes11Independent Components Analysis .pdf
.....................\cs229-notes12Reinforcement Learning and Control .pdf
.....................\cs229-notes1Supervised Learning
 Discriminative Algorithms.pdf
.....................\cs229-notes2Generative Algorithms .pdf
.....................\cs229-notes3Support Vector Machines .pdf
.....................\cs229-notes4Learning Theory .pdf
.....................\cs229-notes5Regularization and Model Selection .pdf
.....................\cs229-notes6Online Learning and the Perceptron Algorithm.pdf
.....................\cs229-notes7aUnsupervised Learning
 k-means clustering.pdf
.....................\cs229-notes7bMixture of Gaussians .pdf
.....................\cs229-notes8The EM Algorithm .pdf
.....................\cs229-notes9Factor Analysis .pdf
.....................\ML-advice.pdf