file:15 - 5 - Anomaly Detection vs. Supervised Learning (8 min).mkv file:4 - 7 - Normal Equation Noninvertibility (Optional) (6 min).mkv file:5 - 7 - Working on and Submitting Programming Exercises (4 min).mkv file:13 - 1 - Unsupervised Learning_ Introduction (3 min).mkv file:17 - 1 - Learning With Large Datasets (6 min).mkv file:10 - 4 - Diagnosing Bias vs. Variance (8 min).mkv file:14 - 1 - Motivation I_ Data Compression (10 min).mkv file:8 - 6 - Examples and Intuitions II (10 min).mkv file:13 - 5 - Choosing the Number of Clusters (8 min).mkv file:14 - 3 - Principal Component Analysis Problem Formulation (9 min).mkv file:斯坦福2014机器学习课程源代码.rar file:README.md file:.gitignore file:.gitattributes file:源代码目录.docx file:源代码打印.pdf file:Programming Exercise(机器学习2014练习).pdf file:visualizeFit.m file:submitWeb.m file:selectThreshold.m file:normalizeRatings.m file:multivariateGaussian.m file:movie_ids.txt file:loadMovieList.m file:fmincg.m file:ex8_movies.mat file:runkMeans.m file:recoverData.m file:plotProgresskMeans.m file:plotDataPoints.m file:kMeansInitCentroids.m file:featureNormalize.m file:vocab.txt file:visualizeBoundaryLinear.m file:svmTrain.m file:spamTest.mat file:spamSample2.txt