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这里面包含了14个常见的机器学习实例，包括分类和回归以及无监督学习聚类三个部分的问题，包括：Classification in the presence of missing data, classification probability, confusion matrix, digit classification using hog features, handwriting recognition using bagged classification trees, visualize decision surfaces for different classifiers, electricity load forecasting.回归部分包括:electicity load forecasting, lasso regularization, regression with boosted decision trees, basket selection using stepwise regression. 无监督部分包括：cluster evaluation, cluster genes using K-means and self-organizing maps, color based segmentation using K-Means clustering, hierarchical clustering. 链接： http://www.weibo.com/1734252803/Dr2lpn4wf?type=comment#_rnd1460893980875 原文链接： http://cn./solutions/machine-learning/examples.html?s_eid=PSM_da |
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