{"id":226,"date":"2025-06-24T16:24:42","date_gmt":"2025-06-24T08:24:42","guid":{"rendered":"http:\/\/101.43.65.133:8899\/?p=226"},"modified":"2025-06-24T16:25:53","modified_gmt":"2025-06-24T08:25:53","slug":"%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0","status":"publish","type":"post","link":"http:\/\/101.43.65.133:8899\/?p=226","title":{"rendered":"\u673a\u5668\u5b66\u4e60"},"content":{"rendered":"<div id=\"bsf_rt_marker\"><\/div><h2>\u524d\u8a00<\/h2>\n<div class=\"post-header\">\u6253\u7b97\u7528\u8fd9\u4e2a\u9875\u9762\u6765\u8bb0\u5f55\u6211\u638c\u63e1\u7684\u673a\u5668\u5b66\u4e60\u76f8\u5173\u8d44\u6e90\u548c\u5b66\u4e60\u60c5\u51b5\u3002\u5927\u90e8\u5206\u662f\u4e92\u8054\u7f51\u4e0a\u7684\u8d44\u6e90\uff0c\u5982\u679c\u4f60\u4e5f\u611f\u5174\u8da3\uff0c\u53ef\u4ee5\u4f5c\u4e3a\u53c2\u8003\u3002\u8fd9\u4e48\u8bf4\u7684\u524d\u63d0\u662f\u4f60\u5df2\u7ecf\u6709\u4e00\u5b9a\u7684\u7f16\u7a0b\u548c\u6570\u5b66\u57fa\u7840\uff0c\u5426\u5219\u7684\u8bdd\uff0c\u53ef\u80fd\u9700\u8981\u5148\u5728python\u4e0a\u591a\u82b1\u4e00\u70b9\u65f6\u95f4\u3002\u6211\u8d70\u7684\u662f\u5e38\u89c1\u7684Python -&gt; ML\u8def\u7ebf\uff0c\u76ee\u524d\u7684\u8ba4\u77e5\u662f\uff1a\u901a\u8fc7python\u7684\u51e0\u4e2a\u7b2c\u4e09\u65b9\u5e93\uff08Numpy\u3001pandas\u3001sklearn\u7b49\uff09\u8f83\u4e3a\u5feb\u6377\u5730\u638c\u63e1\u673a\u5668\u5b66\u4e60\u3002\u5f53\u7136\uff0c\u5728\u6570\u5b66\uff08\u7edf\u8ba1\u3001\u6982\u7387\u3001\u7ebf\u4ee3\u7b49\uff09\u65b9\u9762\u6211\u8fd8\u6709\u5f88\u591a\u6b20\u8d26\u8981\u8865\u3002\u673a\u5668\u5b66\u4e60\u53ef\u80fd\u4f1a\u7528\u5230\u7684Hadoop\u7b49\u5206\u5e03\u5f0f\u89e3\u51b3\u65b9\u6848\u4e5f\u662f\u5e94\u5f53\u638c\u63e1\u7684\u5185\u5bb9\u3002\u8fd9\u4e9b\u9526\u4e0a\u6dfb\u82b1\u7684\u4e1c\u897f\u90fd\u9760\u81ea\u5df1\u82b1\u529f\u592b\uff0c\u5c31\u4e0d\u5217\u51fa\u6765\u4e86\u3002\u867d\u7136\u6211\u81ea\u5df1\u7684\u5b66\u4e60\u987a\u5e8f\u662f\u6df7\u4e71\u7684\uff0c\u4f46\u6211\u4f1a\u628a\u5df2\u6709\u4e00\u5b9a\u4e86\u89e3\u7684\u5185\u5bb9\u6309\u9636\u6bb5\u5212\u5206\u7f57\u5217\u3002\u800c\u4e00\u4e9b\u53ef\u80fd\u5bf9\u7279\u5b9a\u7fa4\u4f53\u6709\u7528\u7684\u8d44\u6e90\u5219\u5217\u5728\u6700\u540e\u7684\u300c\u5176\u4ed6\u8d44\u6599\u300d\u4e2d\u3002\u7b49\u8fd9\u90e8\u5206\u79ef\u7d2f\u591a\u4e86\u6211\u4e5f\u4f1a\u505a\u5b50\u5206\u7c7b\u7684\u3002<\/div>\n<div class=\"post-content entry-content\">\n<hr \/>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-123\" src=\"https:\/\/www.twisted-meadows.com\/wp-content\/uploads\/2017\/04\/%E7%9F%A5%E8%AF%86%E5%9B%BE%E8%B0%B1.png\" alt=\"\" width=\"1362\" height=\"972\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-136\" src=\"https:\/\/www.twisted-meadows.com\/wp-content\/uploads\/2017\/04\/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0-1.png\" alt=\"\" width=\"2060\" height=\"1164\" \/><\/p>\n<hr \/>\n<h3>\u524d\u671f\uff1a<\/h3>\n<ul>\n<li>\u5b66\u5802\u5728\u7ebfMOOC\u2014\u2014<a href=\"http:\/\/www.xuetangx.com\/courses\/course-v1:TsinghuaX+80240372X+2016_T2\/about\" target=\"_blank\" rel=\"noopener noreferrer\">\u6570\u636e\u6316\u6398\uff1a\u7406\u8bba\u4e0e\u7b97\u6cd5<\/a><br \/>\n\u8fd9\u95e8\u662f\u6211\u7684\u673a\u5668\u5b66\u4e60\u5165\u95e8\u8bfe\u3002\u867d\u7136\u8bb2\u7684\u662f\u6570\u636e\u6316\u6398\uff0c\u4f46\u662f\u8001\u5e08\u628a\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u5f88\u591a\u5e38\u7528\u7b97\u6cd5\u90fd\u505a\u4e86\u6df1\u5165\u6d45\u51fa\u7684\u8bb2\u89e3\uff0c\u7b97\u662f\u6253\u5f00\u4e86\u8fd9\u4e00\u5b66\u79d1\u7684\u5927\u95e8\u3002\u6570\u636e\u6316\u6398\u5927\u6982\u662f\u673a\u5668\u5b66\u4e60\u5728\u5f53\u4e0b\u6700\u5e38\u89c1\u7684\u5e94\u7528\uff0cML\u90a3\u4e9b\u7b97\u6cd5\u5e94\u7528\u5728\u6570\u636e\u5904\u7406\u4e0a\u7b80\u76f4\u8ba9\u65b0\u624b\u611f\u5230\u8033\u76ee\u4e00\u65b0\u3002<\/li>\n<li><a href=\"http:\/\/python.jobbole.com\/87465\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u7ed9\u6df1\u5ea6\u5b66\u4e60\u5165\u95e8\u8005\u7684Python\u5feb\u901f\u6559\u7a0b \u2013 \u57fa\u7840\u7bc7<\/a><br \/>\n\u4e5f\u5c31\u662fpython\u5165\u95e8\uff08\u8fd9\u7bc7\u6211\u6ca1\u770b\uff0c\u4f46\u662f\u5b58\u4e0b\u6765\u5907\u67e5\uff0c\u5b83\u4ecb\u7ecd\u4e86\u51e0\u4e4e\u6240\u6709\u7684\u57fa\u7840\u6982\u5ff5\uff09\u3002\u53e6\u4e00\u4e2a\u53ef\u4ee5\u5f53\u300c\u5b57\u5178\u300d\u7528\u7684\u5907\u67e5\u4fe1\u606f\u6e90\u662f<a href=\"http:\/\/www.runoob.com\/python\/python-tutorial.html\" target=\"_blank\" rel=\"noopener noreferrer\">runoob<\/a>\u3002<\/li>\n<li><a href=\"http:\/\/python.jobbole.com\/87471\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u7ed9\u6df1\u5ea6\u5b66\u4e60\u5165\u95e8\u8005\u7684Python\u5feb\u901f\u6559\u7a0b \u2013 Numpy\u548cMatplotlib\u7bc7<\/a><br \/>\n\u7528\u4e8e\u6570\u636e\u5904\u7406\u7684Numpy\u5e93\u548c\u7528\u4e8e\u7ed8\u5236\u56fe\u5f62\u7684Matplotlib\u5e93\u3002<\/li>\n<li><a href=\"http:\/\/pandas.pydata.org\/pandas-docs\/stable\/10min.html\" target=\"_blank\" rel=\"noopener noreferrer\">10 Minutes to pandas<\/a><br \/>\nPandas\u662f\u914d\u5408Numpy\u4f7f\u7528\u7684\u4e00\u4e2a\u5e93\u3002\u53ef\u4ee5\u628a\u6570\u636e\u5b58\u5728DataFrame\u91cc\u9762\uff08\u65b9\u4fbf\u8fdb\u884c\u5904\u7406\uff09\u3002\u6211\u770b\u5b8c\u8fd9\u4e2a10 minutes\u4e4b\u540e\u89c9\u5f97\u8fd9\u7bc7<a href=\"http:\/\/pandas.pydata.org\/pandas-docs\/stable\/basics.html\" target=\"_blank\" rel=\"noopener noreferrer\">Essential Basic Functionality<\/a>\u4e5f\u5f88\u6709\u7528\u3002pandas\u5177\u4f53\u7684\u4f18\u52bf\u8fd8\u6709\u5f85\u5b66\u4e60\u3002<\/li>\n<li><a href=\"https:\/\/scipy.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/scipy.org\/<\/a><br \/>\nSciPy\u7684\u5b98\u65b9\u6587\u6863\uff0c\u4e5f\u5305\u62ec\u4e86NumPy\u3001pandas\u3001IPython\u7b49\u7684\u6587\u6863\u3002<\/li>\n<li>\u673a\u5668\u4e4b\u5fc3\uff1a<a href=\"http:\/\/www.jiqizhixin.com\/article\/2465\" target=\"_blank\" rel=\"noopener noreferrer\">\u53ea\u9700\u5341\u56db\u6b65\uff1a\u4ece\u96f6\u5f00\u59cb\u638c\u63e1Python\u673a\u5668\u5b66\u4e60\uff08\u9644\u8d44\u6e90<\/a><\/li>\n<\/ul>\n<hr \/>\n<h3>\u4e2d\u671f\uff1a<\/h3>\n<ul>\n<li>Coursera\u2014\u2014<a href=\"https:\/\/www.coursera.org\/learn\/machine-learning\/home\/welcome\" target=\"_blank\" rel=\"noopener noreferrer\">Machine Learning<\/a><br \/>\n\u65af\u5766\u798f\u5927\u5b66\u63d0\u4f9b\u7684\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b\uff0c\u4f7f\u7528Matlab\u548cOctave\u5b9e\u8df5\u3002\u8001\u5e08\u662fML\u9886\u57df\u7684\u5927\u725b\u5434\u6069\u8fbe\u3002<\/li>\n<li>\u897f\u74dc\u4e66\u2014\u2014<a href=\"https:\/\/item.jd.com\/11867803.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u300a\u673a\u5668\u5b66\u4e60\u300b<\/a><br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full\" src=\"https:\/\/img13.360buyimg.com\/n1\/jfs\/t2830\/348\/2411904394\/54876\/9470d568\/57639b05N507b6709.jpg\" width=\"350\" height=\"350\" \/><br \/>\n\u5357\u5927\u5468\u5fd7\u534e\u6559\u6388\u5199\u7684\u673a\u5668\u5b66\u4e60\u6559\u6750\u3002\u7528\u5230\u7684\u6570\u5b66\u77e5\u8bc6\u6bd4\u8f83\u591a\uff0c\u6211\u8fd8\u6b63\u5728\u5b66\u3002<\/li>\n<li><a href=\"http:\/\/mindonmind.github.io\/2013\/02\/08\/ipython-notebook-interactive-computing-new-era\/\" target=\"_blank\" rel=\"noopener noreferrer\">IPython Notebook: \u4ea4\u4e92\u8ba1\u7b97\u65b0\u65f6\u4ee3<\/a><br \/>\n\u505a\u6570\u636e\u5206\u6790\u65f6\u6050\u6015\u4e0d\u5f97\u4e0d\u7528\u5230IPython\uff08jupyter\uff09\u3002\u8fd9\u662f\u4e00\u7bc7\u4ecb\u7ecdipython\u5b89\u88c5\u4f7f\u7528\u7684\u7b80\u6613\u6559\u7a0b\u3002<\/li>\n<li><a href=\"http:\/\/www.cnblogs.com\/skying555\/p\/5914533.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u57fa\u4e8e Python \u548c Scikit-Learn \u7684\u673a\u5668\u5b66\u4e60\u4ecb\u7ecd<\/a><br \/>\nsklearn\u662f\u4e00\u4e2a\u73b0\u6210\u7684\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u4e3b\u6d41\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u5168\u90fd\u53ef\u4ee5\u8c03\u7528\u8fd9\u4e2a\u5e93\u5b9e\u73b0\uff0c\u8bbe\u7f6e\u597d\u53c2\u6570\u5c31\u53ef\u4ee5\u76f4\u63a5\u8fdb\u884c\u8bad\u7ec3\u3002\u4f7f\u7528\u8fd9\u4e2a\u5e93\u6765\u5b9e\u73b0ML\u7b97\u6cd5\uff0c\u907f\u514d\u91cd\u590d\u9020\u8f6e\u5b50\u3002<\/li>\n<li><a href=\"https:\/\/www.kaggle.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">Kaggle<\/a><br \/>\n\u662f\u4e00\u4e2a\u673a\u5668\u5b66\u4e60\u5e73\u53f0\u3002\u4e0a\u9762\u63d0\u4f9b\u4e86\u5927\u91cf\u6570\u636e\u96c6\u4f9b\u4eba\u4f7f\u7528\u3002\u8bb8\u591aML\u79d1\u5b66\u5bb6\u5728\u4e0a\u9762\u5206\u4eab\u4ed6\u4eec\u7684\u65b9\u6848\u3002\u8bd5\u7740\u4eb2\u81ea\u52a8\u624b\u91cd\u590d\u5927\u725b\u7684\u65b9\u6848\uff0c\u53ef\u4ee5\u5feb\u901f\u4e0a\u624b\u5b9e\u8df5\u3002<\/li>\n<li>\u53c2\u8003\uff1a<a href=\"http:\/\/www.infoq.com\/cn\/news\/2017\/05\/ordinary-programmer-approach-art\" target=\"_blank\" rel=\"noopener\">\u666e\u901a\u7a0b\u5e8f\u5458\u5982\u4f55\u5411\u4eba\u5de5\u667a\u80fd\u9760\u62e2\uff1f<\/a><br \/>\n\u4ecb\u7ecd\u4e86\u901a\u8fc7<strong>\u81ea\u5b66<\/strong>\u638c\u63e1\u673a\u5668\u5b66\u4e60\u7684\u5408\u7406\u8def\u5f84\u3002\uff08\u8fd9\u662f\u4e00\u7bc7\u7ffb\u8bd1\u6587\u7ae0\uff0c\u4f46\u662f\u6392\u7248\u914d\u56fe\u90fd\u5f88\u5077\u61d2\uff0c\u5982\u679c\u82f1\u6587\u9605\u8bfb\u6ca1\u95ee\u9898\uff0c\u6211\u66f4\u63a8\u8350\u539f\u6587\uff1a<a href=\"https:\/\/elitedatascience.com\/learn-machine-learning\" target=\"_blank\" rel=\"noopener\">How to Learn Machine Learning\u2014\u2014The Self-Starter Way<\/a><\/li>\n<\/ul>\n<hr \/>\n<h3>\u540e\u671f\uff1a<\/h3>\n<ul>\n<li>\u673a\u5668\u4e4b\u5fc3\uff1a<a href=\"http:\/\/www.jiqizhixin.com\/article\/2072\" target=\"_blank\" rel=\"noopener noreferrer\">\u6df1\u5ea6\u5b66\u4e60\u8d44\u6599\u5927\u5168\uff1a\u4ece\u57fa\u7840\u5230\u5404\u79cd\u7f51\u7edc\u6a21\u578b<\/a><br \/>\n\u8fd9\u5176\u5b9e\u662f\u4e2a\u7ffb\u8bd1\u6587\u6863\uff0c\u5b83\u7684\u539f\u6587\u5728<a href=\"http:\/\/yerevann.com\/a-guide-to-deep-learning\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u8fd9\u91cc<\/a><\/li>\n<li><a href=\"http:\/\/mp.weixin.qq.com\/s\/caHS4ZwTq0UQpKDbUd0S1Q\" target=\"_blank\" rel=\"noopener noreferrer\">\u6df1\u5ea6\u5b66\u4e60\u5229\u5668\uff1a TensorFlow\u7cfb\u7edf\u67b6\u6784\u53ca\u9ad8\u6027\u80fd\u7a0b\u5e8f\u8bbe\u8ba1<\/a><br \/>\nTensorFlow\u7cfb\u7edf\u67b6\u6784\u7b80\u4ecb\u3002\u8fd9\u4e24\u5e74\u6df1\u5ea6\u5b66\u4e60\u975e\u5e38\u706b\uff0c\u6240\u4ee5TensorFlow\u4e5f\u5f88\u706b\u3002\u4f46\u6211\u89c9\u5f97\u8fd9\u53ea\u662f\u4e2a\u5de5\u5177\u800c\u5df2\uff0c\u4e0d\u540c\u7684\u4f01\u4e1a\u5e94\u8be5\u4f1a\u6709\u4e0d\u540c\u7684\u5b9e\u73b0\uff0c\u89c6\u9700\u8981\u8fdb\u884c\u638c\u63e1\u5427\u3002\u6211\u4e2a\u4eba\u8fd8\u662f\u6bd4\u8f83\u5173\u6ce8\u7b97\u6cd5\u5c42\u9762\u7684\u95ee\u9898\u3002<\/li>\n<li><a href=\"http:\/\/geek.csdn.net\/news\/detail\/197327\" target=\"_blank\" rel=\"noopener\">\u6df1\u5ea6\u5b66\u4e60\u5de5\u5177\u7efc\u8ff0<\/a><br \/>\n\u7845\u8c37\u6570\u636e\u79d1\u5b66\u516c\u53f8\u5bf9\u591a\u79cd\u4e3b\u6d41\u5de5\u5177\u505a\u7684\u8bc4\u4f30\u548c\u9009\u62e9\u5efa\u8bae\u3002<\/li>\n<li>\u8303\u5f0f\u5927\u5b66\uff1a<a href=\"https:\/\/mp.weixin.qq.com\/s\/k8AhiMslz2dgpqi0lbiWMw\" target=\"_blank\" rel=\"noopener\">\u6768\u5f3a\u6559\u6388\u6f2b\u8c08\u300a\u897f\u90e8\u4e16\u754c\u300b\u3001\u751f\u6210\u5f0f\u5bf9\u6297\u7f51\u7edc\u53ca\u8fc1\u79fb\u5b66\u4e60<\/a><br \/>\n\u4e3b\u8981\u662f\u4ecb\u7ecd\u751f\u6210\u5f0f\u5bf9\u6297\u7f51\u7edc\uff08GAN\uff09<\/li>\n<li><a href=\"https:\/\/github.com\/nightrome\/really-awesome-gan\" target=\"_blank\" rel=\"noopener\">really-awesome-gan<\/a><br \/>\nA list of papers and other resources on<span>\u00a0<\/span><strong>General Adversarial (Neural) Networks<\/strong>. The site is maintained by Holger Caesar.<\/li>\n<\/ul>\n<hr \/>\n<h3>\u5176\u4ed6\u8d44\u6599\uff1a<\/h3>\n<p>\u6570\u5b66\u65b9\u6cd5\u548c\u6a21\u578b\uff1a<\/p>\n<ul>\n<li>July\u5927\u795e\u5199\u7684<a href=\"http:\/\/blog.csdn.net\/v_july_v\/article\/details\/8308762\" target=\"_blank\" rel=\"noopener noreferrer\">\u6570\u636e\u6316\u6398\u4e2d\u6240\u9700\u7684\u6982\u7387\u8bba\u4e0e\u6570\u7406\u7edf\u8ba1\u77e5\u8bc6<\/a><\/li>\n<li><a href=\"http:\/\/blog.csdn.net\/xbinworld\/article\/details\/44276389\" target=\"_blank\" rel=\"noopener noreferrer\">\u56de\u5f52\uff1a\u7a00\u758f\u4e0e\u6b63\u5219\u7ea6\u675fridge regression\uff0cLasso<\/a><br \/>\n\u4e00\u7bc7\u4ecb\u7ecdridge regression\u3001\u7a00\u758f\u7ea6\u675fLasso \u4e24\u79cd\u56de\u5f52\u65b9\u6cd5\u7684\u6587\u7ae0\u3002\u9633\u54e5\u54e5\u7ed9\u6211\u8bf4\u7528X\u77e9\u9635\u5e7f\u4e49\u9006\u505a\u56de\u5f52\u7684\u65b9\u6cd5\u5df2\u7ecf\u4e0d\u662f\u5b66\u754c\u4e3b\u6d41\u4e86\uff0c\u73b0\u5728\u7528\u5f97\u66f4\u591a\u7684\u5e94\u8be5\u8fd8\u662fregularization(\u8457\u540d\u7684\u4f8b\u5b50\u5c31\u662fridge regression, LASSO)\u3002<\/li>\n<li>\u5173\u4e8e\u7edf\u8ba1\u5b66\u65b9\u9762\u77e5\u8bc6\u7684\u53c2\u8003\u4e66\u7c4d\uff1a\u9ad8\u60e0\u7487\u8457\uff0c\u300a\u7edf\u8ba1\u8ba1\u7b97\u300b\uff0cISBN: 9787301028278,\u00a0 \u5317\u4eac\u5927\u5b66\u51fa\u7248\u793e<br \/>\nAlan Agresti\u8457\uff0c\u7ebf\u6027\u6a21\u578b\u548c\u5e7f\u4e49\u7ebf\u6027\u6a21\u578b\uff1a<a href=\"http:\/\/bookzz.org\/book\/2491095\/c6848b\" target=\"_blank\" rel=\"noopener noreferrer\">\u300aFoundations of Linear and Generalized Linear Models\u300b<\/a><\/li>\n<\/ul>\n<p>\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff1a<\/p>\n<ul>\n<li><a href=\"http:\/\/www.cs.uvm.edu\/~icdm\/algorithms\/10Algorithms-08.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Top 10 algorithms in data mining<\/a><br \/>\nThis paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms are among the most influential data mining algorithms in the research community. With each algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and review current and further research on the algorithm. These 10 algorithms cover classification, clustering, statistical learning, association analysis, and link mining, which are all among the most important topics in data mining research and development.<\/li>\n<li><strong><a href=\"http:\/\/www.cs.waikato.ac.nz\/ml\/weka\/\" target=\"_blank\" rel=\"noopener noreferrer\">WEKA<\/a><\/strong><br \/>\n\u8457\u540d\u7684\u514d\u8d39\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7a0b\u5e8f\u5e93\uff0c\u7531\u65b0\u897f\u5170Waikato\u5927\u5b66\u7814\u7a76\u4eba\u5458\u57fa\u4e8eJAVA\u5f00\u53d1<\/li>\n<li>Java\u7684\u63a8\u8350\u7b97\u6cd5\u5e93\u2014\u2014<a href=\"http:\/\/www.librec.net\/\" target=\"_blank\" rel=\"noopener noreferrer\">librec<\/a><br \/>\nA Java Library for Recommender Systems<\/li>\n<\/ul>\n<p>\u6570\u636e\u5de5\u5177\uff1a<\/p>\n<ul>\n<li><a href=\"http:\/\/selection.datavisualization.ch\/\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/selection.datavisualization.ch\/<\/a><br \/>\n\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\u3002<\/li>\n<li><a href=\"http:\/\/www.rulequest.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">http:\/\/www.rulequest.com\/<\/a><br \/>\nRuleQuest data mining tools.<\/li>\n<li>\u6570\u636e\u6d3eTHU\uff1a<a href=\"http:\/\/mp.weixin.qq.com\/s\/s2DnbgieeQockaLKdZDCzA\" target=\"_blank\" rel=\"noopener noreferrer\">\u4e00\u6587\u8bfb\u61c2\u5927\u6570\u636e\u8ba1\u7b97\u6846\u67b6\u4e0e\u5e73\u53f0<\/a><\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u524d\u8a00 \u6253\u7b97\u7528\u8fd9\u4e2a\u9875\u9762\u6765\u8bb0\u5f55\u6211\u638c\u63e1\u7684\u673a\u5668\u5b66\u4e60\u76f8\u5173\u8d44\u6e90\u548c\u5b66\u4e60\u60c5\u51b5\u3002\u5927\u90e8\u5206\u662f\u4e92\u8054\u7f51\u4e0a\u7684\u8d44\u6e90\uff0c\u5982\u679c\u4f60\u4e5f\u611f\u5174\u8da3\uff0c\u53ef\u4ee5\u4f5c\u4e3a &hellip; <\/p>\n<p class=\"link-more\"><a href=\"http:\/\/101.43.65.133:8899\/?p=226\" class=\"more-link\">Read more<span class=\"screen-reader-text\"> &#8220;\u673a\u5668\u5b66\u4e60&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-226","post","type-post","status-publish","format-standard","hentry","category-it-engineer"],"_links":{"self":[{"href":"http:\/\/101.43.65.133:8899\/index.php?rest_route=\/wp\/v2\/posts\/226","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/101.43.65.133:8899\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/101.43.65.133:8899\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/101.43.65.133:8899\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/101.43.65.133:8899\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=226"}],"version-history":[{"count":3,"href":"http:\/\/101.43.65.133:8899\/index.php?rest_route=\/wp\/v2\/posts\/226\/revisions"}],"predecessor-version":[{"id":229,"href":"http:\/\/101.43.65.133:8899\/index.php?rest_route=\/wp\/v2\/posts\/226\/revisions\/229"}],"wp:attachment":[{"href":"http:\/\/101.43.65.133:8899\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=226"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/101.43.65.133:8899\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=226"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/101.43.65.133:8899\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}