06 2013 档案

Machine Learning 第八波编程作业（完）——Anomaly Detection and Recommender Systems
摘要：仅列出核心代码： 1.estimateGuassian.m mu = mean(X)'; X2 = (X - ones(m, 1)*mu').^2; sigma2 = mean(X2); 2.selectThreshold.m cvPredictions = (pval < epsilon); tp = sum((... 阅读全文

posted @ 2013-06-25 00:16 Andnot 阅读(545) 评论(0) 推荐(0)

Machine Learning 第七波编程作业——K-means Clustering and Principal Component Analysis
摘要：仅列出核心代码： 1.findClosestCentroids.m m = size(X, 1); len = zeros(K, 1); for i = 1:m for j = 1:K len(j) = norm(X(i, :) - centroids(j, :))^2; en... 阅读全文

posted @ 2013-06-18 12:16 Andnot 阅读(816) 评论(0) 推荐(0)

Machine Learning 第六波编程作业——Support Vector Machines
摘要：仅列出核心代码： 1.gaussianKernel.m sim = exp(-sum((x1 - x2).^2) /(2*sigma^2)); 2.dataset3Params.m TD = [0.01, 0.03, 0.1, 0.3, 1, 3, 10, 30]; pre_err = zeros(length(TD)); for i = 1... 阅读全文

posted @ 2013-06-11 13:29 Andnot 阅读(1244) 评论(0) 推荐(0)

Machine Learning 第五波编程作业 – Regularized Linear Regression and Bias/Variance
摘要：仅列出核心代码： 1.linearRegCostFunction.m h = X * theta; J = (X * theta - y).' * (X * theta - y) / (2*m)... +(lambda/(2*m)) * sum(theta(2:end).^2); grad = grad(:); gra... 阅读全文

posted @ 2013-06-03 13:48 Andnot 阅读(1397) 评论(0) 推荐(0)

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