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• 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