{"id":3828,"date":"2026-01-31T06:33:52","date_gmt":"2026-01-31T06:33:52","guid":{"rendered":"https:\/\/umaax.com\/aiengineeringhubpdfwenjianaijiaochengziliao\/"},"modified":"2026-01-31T06:33:52","modified_gmt":"2026-01-31T06:33:52","slug":"aiengineeringhubpdfwenjianaijiaochengziliao","status":"publish","type":"post","link":"https:\/\/umaax.com\/en\/aiengineeringhubpdfwenjianaijiaochengziliao\/","title":{"rendered":"AI Engineering Hub\uff08PDF\u6587\u4ef6\uff09- AI\u6559\u7a0b\u8d44\u6599"},"content":{"rendered":"<p data-sourcepos=\"1:1-1:88\">AI Engineering Hub \u662f\u5f00\u6e90\u9879\u76ee\uff0c\u63d0\u4f9b\u5173\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u3001\u68c0\u7d22\u589e\u5f3a\u751f\u6210\uff08RAG\uff09\u548c AI \u667a\u80fd\u4f53\u5e94\u7528\u642d\u5efa\u7684\u6df1\u5165\u6559\u7a0b\u4e0e\u5b9e\u8df5\u6848\u4f8b\u3002AI Engineering Hub 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<strong><span style=\"color: #ff0000;\">20250713<\/span><\/strong><\/p>\n<h2 data-sourcepos=\"1:1-1:88\">AI Engineering Hub\u8bfe\u7a0b\u5185\u5bb9\u7b80\u4ecb<\/h2>\n<p data-sourcepos=\"1:1-1:88\">AI Engineering Hub \u8bfe\u7a0b\u8d44\u6599\u662f\u5168\u9762\u5b9e\u7528\u7684\u6570\u636e\u79d1\u5b66\u4e0e\u673a\u5668\u5b66\u4e60\u6307\u5357\uff0c\u6db5\u76d6\u4ece\u57fa\u7840\u5230\u9ad8\u7ea7\u7684\u6838\u5fc3\u4e3b\u9898\u3002\u5168\u6587\u5206\u4e3a\u4e24\u5927\u677f\u5757\uff1a<\/p>\n<ul data-sourcepos=\"2:1-3:84\">\n<li data-sourcepos=\"2:1-2:83\"><strong data-sourcepos=\"2:4-2:12\">\u6df1\u5ea6\u5b66\u4e60<\/strong>\uff1a\u5305\u62ec\u8fc1\u79fb\u5b66\u4e60\u3001\u8054\u90a6\u5b66\u4e60\u3001\u591a\u4efb\u52a1\u5b66\u4e60\u7b49\u524d\u6cbf\u8303\u5f0f\uff0c\u4ee5\u53ca\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3\u3001\u68af\u5ea6\u68c0\u67e5\u70b9\u7b49\u4f18\u5316\u6280\u672f\uff0c\u5e76\u6df1\u5165\u63a2\u8ba8\u5927\u8bed\u8a00\u6a21\u578b\uff08LLMs\uff09\u7684\u5fae\u8c03\u4e0e\u90e8\u7f72\u7b56\u7565\u3002<\/li>\n<li data-sourcepos=\"3:1-3:84\"><strong data-sourcepos=\"3:4-3:14\">\u7ecf\u5178\u673a\u5668\u5b66\u4e60<\/strong>\uff1a\u8986\u76d6\u7279\u5f81\u5de5\u7a0b\u3001\u56de\u5f52\u5206\u6790\u3001\u51b3\u7b56\u6811\u3001\u805a\u7c7b\u7b49\u4f20\u7edf\u65b9\u6cd5\uff0c\u7ed3\u5408\u7edf\u8ba1\u7406\u8bba\u4e0e\u5b9e\u9645\u6848\u4f8b\uff08\u5982\u5904\u7406\u6570\u636e\u6f02\u79fb\u3001\u7f3a\u5931\u503c\uff09\uff0c\u5e76\u63ed\u793a\u5e38\u89c1\u8bef\u533a\uff08\u5982\u968f\u673a\u5206\u5272\u7684\u9677\u9631\uff09\u3002<\/li>\n<\/ul>\n<p data-sourcepos=\"5:1-5:131\">\u8d44\u6599\u63d0\u4f9b\u6570\u636e\u5206\u6790\u5de5\u5177\uff08\u5982Pandas\u3001SQL\uff09\u3001\u53ef\u89c6\u5316\u6280\u5de7\uff08\u5982\u6851\u57fa\u56fe\u3001QQ\u56fe\uff09\u53caPython\u9762\u5411\u5bf9\u8c61\u7f16\u7a0b\u7684\u9ad8\u7ea7\u7528\u6cd5\u3002\u5168\u6587\u901a\u8fc7\u4ee3\u7801\u793a\u4f8b\u3001\u53ef\u89c6\u5316\u56fe\u8868\u548c\u5b9e\u9a8c\u5bf9\u6bd4\uff0c\u517c\u987e\u7406\u8bba\u4e0e\u5b9e\u8df5\uff0c\u9002\u5408\u4e0d\u540c\u6c34\u5e73\u7684\u5b66\u4e60\u8005\u3002\u9644\u5e26\u7684\u8bc4\u4f30\u5de5\u5177\u53ef\u5e2e\u52a9\u8bfb\u8005\u5b9a\u4f4d\u6700\u76f8\u5173\u7ae0\u8282\uff0c\u9ad8\u6548\u63d0\u5347\u6280\u80fd\u3002<\/p>\n<h2 data-sourcepos=\"5:1-5:131\">AI Engineering Hub\u7684\u8bfe\u7a0b\u5185\u5bb9<\/h2>\n<h3 data-sourcepos=\"3:1-3:32\">Deep Learning\uff08\u6df1\u5ea6\u5b66\u4e60\uff09<\/h3>\n<h4><strong>\u5b66\u4e60\u8303\u5f0f<\/strong><\/h4>\n<ul data-sourcepos=\"5:3-15:52\">\n<li data-sourcepos=\"5:3-9:52\"><strong data-sourcepos=\"5:5-5:102\">\u8fc1\u79fb\u5b66\u4e60\u3001\u5fae\u8c03\u3001\u591a\u4efb\u52a1\u5b66\u4e60\u548c\u8054\u90a6\u5b66\u4e60<\/strong>\uff1a\n<ul data-sourcepos=\"6:5-9:52\">\n<li data-sourcepos=\"6:5-6:65\"><strong data-sourcepos=\"6:7-6:15\">\u8fc1\u79fb\u5b66\u4e60<\/strong>\uff1a\u57fa\u4e8e\u9884\u8bad\u7ec3\u6a21\u578b\uff08\u57fa\u7840\u6a21\u578b\uff09\u5728\u76f8\u5173\u4efb\u52a1\u4e0a\u8bad\u7ec3\u540e\uff0c\u66ff\u6362\u6700\u540e\u51e0\u5c42\u5e76\u51bb\u7ed3\u5176\u4ed6\u5c42\u6743\u91cd\uff0c\u9002\u5e94\u5c0f\u6570\u636e\u65b0\u4efb\u52a1\u3002<\/li>\n<li data-sourcepos=\"7:5-7:40\"><strong data-sourcepos=\"7:7-7:13\">\u5fae\u8c03<\/strong>\uff1a\u8c03\u6574\u9884\u8bad\u7ec3\u6a21\u578b\u7684\u90e8\u5206\u6216\u5168\u90e8\u6743\u91cd\uff0c\u76f4\u63a5\u9002\u914d\u65b0\u6570\u636e\u3002<\/li>\n<li data-sourcepos=\"8:5-8:57\"><strong data-sourcepos=\"8:7-8:21\">\u591a\u4efb\u52a1\u5b66\u4e60\uff08MTL\uff09<\/strong>\uff1a\u5171\u4eab\u5c42\u5904\u7406\u591a\u4e2a\u4efb\u52a1\uff0c\u4efb\u52a1\u7279\u5b9a\u5206\u652f\u72ec\u7acb\u8bad\u7ec3\uff0c\u63d0\u5347\u6cdb\u5316\u5e76\u8282\u7701\u8ba1\u7b97\u8d44\u6e90\u3002<\/li>\n<li data-sourcepos=\"9:5-9:52\"><strong data-sourcepos=\"9:7-9:15\">\u8054\u90a6\u5b66\u4e60<\/strong>\uff1a\u5728\u5206\u6563\u8bbe\u5907\u4e0a\u8bad\u7ec3\u6a21\u578b\uff0c\u805a\u5408\u53c2\u6570\u800c\u975e\u6570\u636e\uff0c\u4fdd\u62a4\u9690\u79c1\uff08\u5982\u624b\u673a\u7528\u6237\u6570\u636e\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<li data-sourcepos=\"10:3-11:49\"><strong data-sourcepos=\"10:5-10:51\">\u8054\u90a6\u5b66\u4e60\u7b80\u4ecb<\/strong>\uff1a\u6a21\u578b\u5206\u53d1\u5230\u8bbe\u5907\u672c\u5730\u8bad\u7ec3\uff0c\u4ec5\u4e0a\u4f20\u53c2\u6570\u81f3\u4e2d\u5fc3\u670d\u52a1\u5668\u805a\u5408\uff0c\u907f\u514d\u6570\u636e\u96c6\u4e2d\u5b58\u50a8\u3002<\/li>\n<li data-sourcepos=\"12:3-13:55\"><strong data-sourcepos=\"12:5-12:61\">\u6784\u5efa\u591a\u4efb\u52a1\u5b66\u4e60\u6a21\u578b<\/strong>\uff1a\n<ul data-sourcepos=\"13:5-13:55\">\n<li data-sourcepos=\"13:5-13:55\">PyTorch\u5b9e\u73b0\uff1a\u5171\u4eab\u5c42+\u4efb\u52a1\u5206\u652f\uff0c\u68af\u5ea6\u7d2f\u52a0\u66f4\u65b0\uff0c\u52a8\u6001\u4efb\u52a1\u6743\u91cd\u5206\u914d\uff08\u5982\u6309\u9a8c\u8bc1\u51c6\u786e\u7387\u8c03\u6574\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<li><strong data-sourcepos=\"14:5-14:30\">Active Learning\uff08\u4e3b\u52a8\u5b66\u4e60\uff09<\/strong>\uff1a\u4ece\u5c11\u91cf\u6807\u6ce8\u6570\u636e\u5f00\u59cb\uff0c\u6a21\u578b\u7b5b\u9009\u4f4e\u7f6e\u4fe1\u5ea6\u6837\u672c\u4eba\u5de5\u6807\u6ce8\uff0c\u8fed\u4ee3\u4f18\u5316\uff08\u9002\u7528\u4e8e\u6807\u6ce8\u6210\u672c\u9ad8\u7684\u573a\u666f\uff09\u3002<\/li>\n<\/ul>\n<h4><strong data-sourcepos=\"17:3-17:53\">\u8fd0\u884c\u65f6\u548c\u5185\u5b58\u4f18\u5316<\/strong><\/h4>\n<ul data-sourcepos=\"18:3-30:37\">\n<li data-sourcepos=\"18:3-19:35\"><strong data-sourcepos=\"18:5-18:21\">\u52a8\u91cf<\/strong>\uff1a\u901a\u8fc7\u68af\u5ea6\u79fb\u52a8\u5e73\u5747\u51cf\u5c11\u9707\u8361\uff0c\u52a0\u901f\u6536\u655b\uff08\u8d85\u53c2\u6570\u9700\u8c03\u4f18\uff09\u3002<\/li>\n<li data-sourcepos=\"20:3-21:73\"><strong data-sourcepos=\"20:5-20:41\">\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3<\/strong>\uff1a\u6df7\u5408float16\u548cfloat32\uff1a\u524d\u5411\/\u68af\u5ea6\u8ba1\u7b97\u7528float16\u52a0\u901f\uff0c\u6743\u91cd\u66f4\u65b0\u7528float32\u4fdd\u7cbe\u5ea6\uff0c\u9700\u635f\u5931\u7f29\u653e\u907f\u514d\u68af\u5ea6\u6d88\u5931\u3002<\/li>\n<li data-sourcepos=\"22:3-23:50\"><strong data-sourcepos=\"22:5-22:38\">\u68af\u5ea6\u68c0\u67e5\u70b9<\/strong>\uff1a\u5206\u6bb5\u5b58\u50a8\u6fc0\u6d3b\u503c\uff0c\u53cd\u5411\u4f20\u64ad\u65f6\u91cd\u65b0\u8ba1\u7b97\uff0c\u8282\u770150-60%\u5185\u5b58\uff08\u727a\u727215-25%\u65f6\u95f4\uff09\u3002<\/li>\n<li data-sourcepos=\"24:3-25:49\"><strong data-sourcepos=\"24:5-24:36\">\u68af\u5ea6\u7d2f\u79ef<\/strong>\uff1a\n<ul data-sourcepos=\"25:5-25:49\">\n<li data-sourcepos=\"25:5-25:49\">\u5c0f\u6279\u91cf\u8bad\u7ec3\u65f6\u7d2f\u79ef\u591a\u6279\u6b21\u68af\u5ea6\u518d\u66f4\u65b0\uff0c\u6a21\u62df\u5927\u6279\u91cf\u6548\u679c\uff08\u4e0d\u51cf\u5c11\u65f6\u95f4\uff0c\u4f46\u964d\u4f4e\u5185\u5b58\u538b\u529b\uff09\u3002<\/li>\n<li data-sourcepos=\"26:3-30:37\"><strong data-sourcepos=\"26:5-26:57\">4 Strategies for Multi-GPU Training\uff08\u591aGPU\u8bad\u7ec3\u76844\u79cd\u7b56\u7565\uff09<\/strong>\n<ul data-sourcepos=\"27:5-30:37\">\n<li data-sourcepos=\"27:5-27:34\"><strong data-sourcepos=\"27:7-27:15\">\u6a21\u578b\u5e76\u884c<\/strong>\uff1a\u5c42\u62c6\u5206\u5230\u4e0d\u540cGPU\uff0c\u9700\u9891\u7e41\u901a\u4fe1\u3002<\/li>\n<li data-sourcepos=\"28:5-28:37\"><strong data-sourcepos=\"28:7-28:15\">\u5f20\u91cf\u5e76\u884c<\/strong>\uff1a\u5355\u5f20\u91cf\u64cd\u4f5c\u62c6\u5206\uff08\u5982\u77e9\u9635\u4e58\u6cd5\u5206\u5757\u8ba1\u7b97\uff09\u3002<\/li>\n<li data-sourcepos=\"29:5-29:35\"><strong data-sourcepos=\"29:7-29:15\">\u6570\u636e\u5e76\u884c<\/strong>\uff1a\u6a21\u578b\u590d\u5236\uff0c\u6570\u636e\u5206\u7247\u8bad\u7ec3\u540e\u68af\u5ea6\u805a\u5408\u3002<\/li>\n<li data-sourcepos=\"30:5-30:37\"><strong data-sourcepos=\"30:7-30:16\">\u6d41\u6c34\u7ebf\u5e76\u884c<\/strong>\uff1a\u5fae\u6279\u6b21\u6d41\u6c34\u7ebf\u5904\u7406\uff0c\u63d0\u5347GPU\u5229\u7528\u7387\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p> <img decoding=\"async\" class=\"aligncenter wp-image-56941\" src=\"https:\/\/ai-bot.cn\/wp-content\/uploads\/2025\/07\/\u672a\u547d\u540d_20250710220242-24.png\"  alt=\"Daily Dose of Data Science Full Archive\" width=\"678\" height=\"739\" \/> <\/p>\n<h4 data-sourcepos=\"32:3-32:30\"><strong data-sourcepos=\"32:3-32:28\">\u6742\u9879<\/strong><\/h4>\n<ul data-sourcepos=\"33:3-44:25\">\n<li data-sourcepos=\"33:3-34:55\"><strong data-sourcepos=\"33:5-33:30\">\u6807\u7b7e\u5e73\u6ed1<\/strong>\uff1a\u8c03\u6574\u6807\u7b7e\u5206\u5e03\uff0c\u964d\u4f4e\u771f\u5b9e\u7c7b\u6982\u7387\uff0c\u5747\u5300\u5206\u914d\u4f59\u91cf\uff0c\u9632\u6b62\u6a21\u578b\u8fc7\u5ea6\u81ea\u4fe1\uff08\u63d0\u5347\u6cdb\u5316\uff0c\u4f46\u964d\u4f4e\u9884\u6d4b\u7f6e\u4fe1\u5ea6\uff09\u3002<\/li>\n<li data-sourcepos=\"35:3-36:48\"><strong data-sourcepos=\"35:5-35:25\">\u7126\u70b9\u635f\u5931<\/strong>\uff1a\u9488\u5bf9\u7c7b\u522b\u4e0d\u5e73\u8861\uff0c\u901a\u8fc7\u6743\u91cd\u56e0\u5b50\uff08\u03b3\uff09\u548c\u9006\u7c7b\u522b\u9891\u7387\uff08\u03b1\uff09\u964d\u4f4e\u6613\u5206\u7c7b\u6837\u672c\u7684\u635f\u5931\u8d21\u732e\u3002<\/li>\n<li data-sourcepos=\"37:3-38:51\"><strong data-sourcepos=\"37:5-37:47\">How Dropout Actually Works?\uff08Dropout\u539f\u7406\uff09<\/strong>\uff1a\u8bad\u7ec3\u65f6\u968f\u673a\u4e22\u5f03\u795e\u7ecf\u5143\uff0c\u4fdd\u7559\u7684\u6fc0\u6d3b\u503c\u7f29\u653e1\/(1-p)\u4ee5\u4fdd\u6301\u63a8\u7406\u4e00\u81f4\u6027\uff08p\u4e3a\u4e22\u5f03\u7387\uff09\u3002<\/li>\n<li data-sourcepos=\"39:3-40:31\"><strong data-sourcepos=\"39:5-39:52\">CNN\u4e2dDropout\u7684\u95ee\u9898<\/strong>\uff1a\u7834\u574f\u5377\u79ef\u5c42\u7684\u7a7a\u95f4\u76f8\u5173\u6027\uff0c\u5efa\u8bae\u5728\u5168\u8fde\u63a5\u5c42\u4f7f\u7528\u3002<\/li>\n<li data-sourcepos=\"41:3-42:35\"><strong data-sourcepos=\"41:5-41:79\">\u9690\u85cf\u5c42\u4e0e\u6fc0\u6d3b\u51fd\u6570\u7684\u771f\u5b9e\u4f5c\u7528<\/strong>\uff1a\u89e3\u91ca\u9690\u85cf\u5c42\u5982\u4f55\u63d0\u53d6\u7279\u5f81\u5c42\u6b21\uff0c\u6fc0\u6d3b\u51fd\u6570\u5982\u4f55\u5f15\u5165\u975e\u7ebf\u6027\u3002<\/li>\n<li data-sourcepos=\"43:3-44:25\"><strong data-sourcepos=\"43:5-43:46\">\u8bad\u7ec3\u524d\u6253\u4e71\u6570\u636e<\/strong>\uff1a\u907f\u514d\u6279\u6b21\u95f4\u6570\u636e\u987a\u5e8f\u5f71\u54cd\u6a21\u578b\u6536\u655b\u3002<\/li>\n<\/ul>\n<h4 data-sourcepos=\"46:3-46:36\"><strong data-sourcepos=\"46:3-46:34\">\u6a21\u578b\u538b\u7f29<\/strong><\/h4>\n<ul data-sourcepos=\"47:3-50:25\">\n<li data-sourcepos=\"47:3-48:27\"><strong data-sourcepos=\"47:5-47:59\">\u77e5\u8bc6\u84b8\u998f\uff09<\/strong>\uff1a\u6559\u5e08\u6a21\u578b\u6307\u5bfc\u5b66\u751f\u6a21\u578b\uff0c\u538b\u7f29\u6a21\u578b\u5c3a\u5bf8\u3002<\/li>\n<li data-sourcepos=\"49:3-50:25\"><strong data-sourcepos=\"49:5-49:33\">\u6fc0\u6d3b\u526a\u679d<\/strong>\uff1a\u526a\u679d\u4f4e\u91cd\u8981\u6027\u795e\u7ecf\u5143\u51cf\u5c11\u8ba1\u7b97\u91cf\uff0c\u9700\u52a8\u6001\u8bc4\u4f30\u91cd\u8981\u6027\u3002<\/li>\n<\/ul>\n<h4 data-sourcepos=\"52:3-52:27\"><strong data-sourcepos=\"52:3-52:25\">\u90e8\u7f72<\/strong><\/h4>\n<ul data-sourcepos=\"53:3-58:23\">\n<li data-sourcepos=\"53:3-54:20\"><strong data-sourcepos=\"53:5-53:70\">\u4eceJupyter Notebook\u90e8\u7f72\u6a21\u578b<\/strong>\uff1a\u7b80\u5316\u4ece\u5f00\u53d1\u5230\u751f\u4ea7\u7684\u6a21\u578b\u8fc1\u79fb\u6d41\u7a0b\u3002<\/li>\n<li data-sourcepos=\"55:3-56:21\"><strong data-sourcepos=\"55:5-55:59\">\u751f\u4ea7\u73af\u5883\u6a21\u578b\u6d4b\u8bd5\u65b9\u6cd5<\/strong>\uff1a\u5305\u62ecA\/B\u6d4b\u8bd5\u3001\u5f71\u5b50\u90e8\u7f72\u7b49\u751f\u4ea7\u73af\u5883\u9a8c\u8bc1\u65b9\u6cd5\u3002<\/li>\n<li data-sourcepos=\"57:3-58:23\"><strong data-sourcepos=\"57:5-57:58\">\u7248\u672c\u63a7\u5236\u4e0e\u6a21\u578b\u6ce8\u518c<\/strong>\uff1a\u8ffd\u8e2a\u6a21\u578b\u8fed\u4ee3\uff0c\u7ba1\u7406\u751f\u4ea7\u73af\u5883\u53d1\u5e03\u3002<\/li>\n<\/ul>\n<p> <img decoding=\"async\" class=\"aligncenter wp-image-56942\" src=\"https:\/\/ai-bot.cn\/wp-content\/uploads\/2025\/07\/\u672a\u547d\u540d_20250710220242-25.png\"  alt=\"Daily Dose of Data Science Full Archive\" width=\"678\" height=\"619\" \/> <\/p>\n<h4 data-sourcepos=\"60:3-60:24\"><strong data-sourcepos=\"60:3-60:22\">\u5927\u8bed\u8a00\u6a21\u578b<\/strong><\/h4>\n<ul data-sourcepos=\"61:3-66:23\">\n<li data-sourcepos=\"61:3-62:25\"><strong data-sourcepos=\"61:5-61:46\">Where Did the GPU Memory Go?\uff08GPU\u5185\u5b58\u7ba1\u7406\uff09<\/strong>\uff1a\u5206\u6790\u8bad\u7ec3LLM\u65f6\u7684\u663e\u5b58\u5360\u7528\u74f6\u9888\u4e0e\u4f18\u5316\u7b56\u7565\u3002<\/li>\n<li data-sourcepos=\"63:3-64:56\"><strong data-sourcepos=\"63:5-63:72\">\u5168\u6a21\u578b\u5fae\u8c03 vs. LoRA vs. RAG<\/strong>\uff1a\u5bf9\u6bd4\u9002\u7528\u573a\u666f\uff1a\u5168\u53c2\u6570\u5fae\u8c03\u8d44\u6e90\u6d88\u8017\u5927\uff0cLoRA\uff08\u4f4e\u79e9\u9002\u914d\uff09\u9ad8\u6548\uff0cRAG\uff08\u68c0\u7d22\u589e\u5f3a\uff09\u52a8\u6001\u6269\u5c55\u77e5\u8bc6\u3002<\/li>\n<li data-sourcepos=\"65:3-66:23\"><strong data-sourcepos=\"65:5-65:48\">5\u79cdLLM\u5fae\u8c03\u6280\u672f<\/strong>\uff1a\u5305\u62ec\u9002\u914d\u5668\u5fae\u8c03\u3001\u524d\u7f00\u5fae\u8c03\u7b49\u8f7b\u91cf\u5316\u5fae\u8c03\u6280\u672f\u8be6\u89e3\u3002<\/li>\n<\/ul>\n<h3 data-sourcepos=\"70:1-70:33\"><strong data-sourcepos=\"70:6-70:33\">Classical ML\uff08\u7ecf\u5178\u673a\u5668\u5b66\u4e60\uff09<\/strong><\/h3>\n<h4 data-sourcepos=\"71:3-71:34\"><strong data-sourcepos=\"71:3-71:32\">ML\u57fa\u7840<\/strong><\/h4>\n<ul data-sourcepos=\"72:3-91:26\">\n<li data-sourcepos=\"72:3-73:29\"><strong data-sourcepos=\"72:5-72:80\">10\u79cd\u7b97\u6cd5\u7684\u65f6\u95f4\u590d\u6742\u5ea6<\/strong>\uff1a\u5bf9\u6bd4SVM\u3001\u968f\u673a\u68ee\u6797\u7b4910\u79cd\u7b97\u6cd5\u7684\u8bad\u7ec3\/\u63a8\u7406\u65f6\u95f4\u590d\u6742\u5ea6\u3002<\/li>\n<li data-sourcepos=\"74:3-75:24\"><strong data-sourcepos=\"74:5-74:78\">25\u4e2a\u5173\u952e\u6570\u5b66\u5b9a\u4e49<\/strong>\uff1a\u6db5\u76d6\u6982\u7387\u3001\u7ebf\u6027\u4ee3\u6570\u7b49\u6838\u5fc3\u6982\u5ff5\u3002<\/li>\n<li data-sourcepos=\"76:3-77:35\"><strong data-sourcepos=\"76:5-76:94\">\u5982\u4f55\u53ef\u9760\u6539\u8fdb\u591a\u5206\u7c7b\u6982\u7387\u6a21\u578b<\/strong>\uff1a\u901a\u8fc7Platt Scaling\u7b49\u65b9\u6cd5\u6821\u51c6\u591a\u5206\u7c7b\u6982\u7387\u8f93\u51fa\u3002<\/li>\n<li data-sourcepos=\"78:3-79:24\"><strong data-sourcepos=\"78:5-78:82\">\u6a21\u578b\u6539\u8fdb\u53ef\u80fd\u65e0\u6548\u7684\u539f\u56e0\uff1a<\/strong>\u6570\u636e\u8d28\u91cf\u3001\u8bc4\u4f30\u6307\u6807\u9009\u62e9\u7b49\u9677\u9631\u3002<\/li>\n<li data-sourcepos=\"80:3-81:28\"><strong data-sourcepos=\"80:5-80:49\">16\u79cd\u7b97\u6cd5\u7684\u635f\u5931\u51fd\u6570<\/strong>\uff1a\u5305\u62ec\u903b\u8f91\u56de\u5f52\u3001SVM\u7b49\u7684\u635f\u5931\u51fd\u6570\u516c\u5f0f\u3002<\/li>\n<li data-sourcepos=\"82:3-83:27\"><strong data-sourcepos=\"82:5-82:49\">10\u79cd\u5e38\u89c1\u635f\u5931\u51fd\u6570<\/strong>\uff1a\u5982\u4ea4\u53c9\u71b5\u3001Huber\u635f\u5931\u7684\u9002\u7528\u573a\u666f\u3002<\/li>\n<li data-sourcepos=\"84:3-85:23\"><strong data-sourcepos=\"84:5-84:76\">\u5982\u4f55\u6b63\u786e\u4f7f\u7528\u8bad\u7ec3\/\u9a8c\u8bc1\/\u6d4b\u8bd5\u96c6<\/strong>\uff1a\u6570\u636e\u5212\u5206\u7b56\u7565\u4e0e\u907f\u514d\u4fe1\u606f\u6cc4\u9732\u3002<\/li>\n<li data-sourcepos=\"86:3-87:22\"><strong data-sourcepos=\"86:5-86:48\">5\u79cd\u4ea4\u53c9\u9a8c\u8bc1\u6280\u672f<\/strong>\uff1ak\u6298\u3001\u7559\u4e00\u6cd5\u7b49\u5b9e\u73b0\u4e0e\u9009\u62e9\u3002<\/li>\n<li data-sourcepos=\"88:3-89:21\"><strong data-sourcepos=\"88:5-88:52\">\u4ea4\u53c9\u9a8c\u8bc1\u540e\u6b65\u9aa4<\/strong>\uff1a\u6a21\u578b\u9009\u62e9\u4e0e\u6700\u7ec8\u8bc4\u4f30\u6d41\u7a0b\u3002<\/li>\n<li data-sourcepos=\"90:3-91:26\"><strong data-sourcepos=\"90:5-90:64\">\u53cc\u4e0b\u964d\u4e0e\u504f\u5dee-\u65b9\u5dee\u6743\u8861<\/strong>\uff1a\u89e3\u91ca\u6a21\u578b\u590d\u6742\u5ea6\u4e0e\u6cdb\u5316\u7684\u975e\u7ebf\u6027\u5173\u7cfb\u3002<\/li>\n<\/ul>\n<h4 data-sourcepos=\"93:3-93:42\"><strong data-sourcepos=\"93:3-93:40\">\u7edf\u8ba1\u57fa\u7840<\/strong><\/h4>\n<ul data-sourcepos=\"94:3-111:24\">\n<li data-sourcepos=\"94:3-95:33\"><strong data-sourcepos=\"94:5-94:54\">MLE\u4e0eEM\u7684\u533a\u522b<\/strong>\uff1aMLE\u9002\u7528\u4e8e\u5b8c\u6574\u6570\u636e\uff0cEM\u5904\u7406\u9690\u53d8\u91cf\uff08\u5982\u805a\u7c7b\uff09\u3002<\/li>\n<li data-sourcepos=\"96:3-97:21\"><strong data-sourcepos=\"96:5-96:63\">\u7f6e\u4fe1\u533a\u95f4\u4e0e\u9884\u6d4b\u533a\u95f4<\/strong>\uff1a\u89e3\u91ca\u4e24\u8005\u5dee\u5f02\u53ca\u8ba1\u7b97\u65b9\u6cd5\u3002<\/li>\n<li data-sourcepos=\"98:3-99:24\"><strong data-sourcepos=\"98:5-98:61\">\u4e3a\u4f55OLS\u662f\u65e0\u504f\u4f30\u8ba1<\/strong>\uff1a\u6570\u5b66\u63a8\u5bfc\u4e0e\u9ad8\u65af-\u9a6c\u5c14\u53ef\u592b\u5b9a\u7406\u3002<\/li>\n<li data-sourcepos=\"100:3-101:22\"><strong data-sourcepos=\"100:5-100:37\">\u5df4\u6c0f\u8ddd\u79bb<\/strong>\uff1a\u8861\u91cf\u6982\u7387\u5206\u5e03\u76f8\u4f3c\u6027\u7684\u6307\u6807\u3002<\/li>\n<li data-sourcepos=\"102:3-103:24\"><strong data-sourcepos=\"102:5-102:75\">\u4e3a\u4f55\u9009\u62e9\u9a6c\u6c0f\u8ddd\u79bb\uff09\uff1a<\/strong>\u9a6c\u6c0f\u8ddd\u79bb\u8003\u8651\u534f\u65b9\u5dee\u7ed3\u6784\u7684\u4f18\u52bf\u3002<\/li>\n<li data-sourcepos=\"104:3-105:27\"><strong data-sourcepos=\"104:5-104:58\">11\u79cd\u6570\u636e\u6b63\u6001\u6027\u68c0\u9a8c\u65b9\u6cd5<\/strong>\uff1a\u5305\u62ecShapiro-Wilk\u3001QQ\u56fe\u7b49\u3002<\/li>\n<li data-sourcepos=\"106:3-107:24\"><strong data-sourcepos=\"106:5-106:42\">\u6982\u7387\u4e0e\u4f3c\u7136<\/strong>\uff1a\u6982\u5ff5\u8fa8\u6790\u4e0e\u6700\u5927\u4f3c\u7136\u4f30\u8ba1\u7684\u8054\u7cfb\u3002<\/li>\n<li data-sourcepos=\"108:3-109:25\"><strong data-sourcepos=\"108:5-108:68\">11\u79cd\u5173\u952e\u6982\u7387\u5206\u5e03<\/strong>\uff1a\u5982\u6cca\u677e\u5206\u5e03\u3001\u6307\u6570\u5206\u5e03\u7684\u5e94\u7528\u573a\u666f\u3002<\/li>\n<li data-sourcepos=\"110:3-111:24\"><strong data-sourcepos=\"110:5-110:88\">\u8fde\u7eed\u6982\u7387\u5206\u5e03\u7684\u5e38\u89c1\u8bef\u89e3<\/strong>\uff1a\u89e3\u91ca\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u7684\u975e\u6982\u7387\u542b\u4e49\u3002<\/li>\n<\/ul>\n<p> <img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-56943\" src=\"https:\/\/ai-bot.cn\/wp-content\/uploads\/2025\/07\/\u672a\u547d\u540d_20250710220242-26.png\"  alt=\"Daily Dose of Data Science Full Archive\" width=\"678\" height=\"442\" \/> <\/p>\n<h4 data-sourcepos=\"5:1-5:33\"><strong data-sourcepos=\"5:6-5:33\">\u7279\u5f81\u5b9a\u4e49\u3001\u5de5\u7a0b\u4e0e\u9009\u62e9<\/strong><\/h4>\n<ul data-sourcepos=\"6:1-17:41\">\n<li data-sourcepos=\"6:1-7:56\"><strong data-sourcepos=\"6:3-6:18\">\u6570\u636e\u96c6\u4e2d11\u79cd\u53d8\u91cf\u7c7b\u578b<\/strong>\uff1a\u6db5\u76d6\u540d\u4e49\u53d8\u91cf\uff08\u65e0\u5e8f\u7c7b\u522b\uff09\u3001\u5e8f\u6570\u53d8\u91cf\uff08\u6709\u5e8f\u7b49\u7ea7\uff09\u3001\u8fde\u7eed\u53d8\u91cf\u7b49\uff0c\u6307\u5bfc\u6570\u636e\u9884\u5904\u7406\u65f6\u7684\u7f16\u7801\u4e0e\u5206\u6790\u65b9\u6cd5\u9009\u62e9\u3002<\/li>\n<li data-sourcepos=\"8:1-9:65\"><strong data-sourcepos=\"8:3-8:14\">\u5468\u671f\u6027\u7279\u5f81\u7f16\u7801<\/strong>\uff1a\u5bf9\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u5468\u671f\u6027\u7279\u5f81\uff08\u5982\u5c0f\u65f6\u3001\u6708\u4efd\uff09\u4f7f\u7528sin\/cos\u7f16\u7801\uff0c\u4fdd\u7559\u5faa\u73af\u8fde\u7eed\u6027\uff08\u598223:59\u4e0e00:01\u7684\u63a5\u8fd1\u6027\uff09\u3002<\/li>\n<li data-sourcepos=\"10:1-11:48\"><strong data-sourcepos=\"10:3-10:12\">\u7279\u5f81\u79bb\u6563\u5316<\/strong>\uff1a\u5c06\u8fde\u7eed\u7279\u5f81\u5206\u7bb1\uff08\u5982\u5e74\u9f84\u5206\u6bb5\uff09\uff0c\u5e73\u8861\u4fe1\u606f\u635f\u5931\u4e0e\u6a21\u578b\u9c81\u68d2\u6027\uff0c\u9002\u7528\u4e8e\u903b\u8f91\u56de\u5f52\u7b49\u7ebf\u6027\u6a21\u578b\u3002<\/li>\n<li data-sourcepos=\"12:1-13:56\"><strong data-sourcepos=\"12:3-12:17\">7\u79cd\u5206\u7c7b\u6570\u636e\u7f16\u7801\u65b9\u6cd5<\/strong>\uff1a\u5305\u62ec\u72ec\u70ed\u7f16\u7801\uff08\u7a00\u758f\u7c7b\u522b\uff09\u3001\u76ee\u6807\u7f16\u7801\uff08\u9ad8\u57fa\u6570\u7c7b\u522b\uff09\u3001\u54c8\u5e0c\u7f16\u7801\uff08\u5185\u5b58\u4f18\u5316\uff09\u7b49\uff0c\u89e3\u51b3\u7c7b\u522b\u53d8\u91cf\u6570\u503c\u5316\u95ee\u9898\u3002<\/li>\n<li data-sourcepos=\"14:1-15:43\"><strong data-sourcepos=\"14:3-14:16\">\u6253\u4e71\u7279\u5f81\u91cd\u8981\u6027\u8bc4\u4f30<\/strong>\uff1a\u901a\u8fc7\u968f\u673a\u6253\u4e71\u7279\u5f81\u503c\u89c2\u5bdf\u6a21\u578b\u6027\u80fd\u53d8\u5316\uff0c\u91cf\u5316\u7279\u5f81\u91cd\u8981\u6027\uff0c\u907f\u514d\u8fc7\u62df\u5408\u65e0\u5173\u7279\u5f81\u3002<\/li>\n<li data-sourcepos=\"16:1-17:41\"><strong data-sourcepos=\"16:3-16:14\">\u63a2\u9488\u7279\u5f81\u9009\u62e9\u6cd5<\/strong>\uff1a\u751f\u6210\u968f\u673a\u566a\u58f0\u7279\u5f81\uff0c\u7b5b\u9009\u91cd\u8981\u6027\u4f4e\u4e8e\u566a\u58f0\u7684\u7279\u5f81\u5e76\u5254\u9664\uff0c\u63d0\u5347\u6a21\u578b\u6cdb\u5316\u80fd\u529b\u3002<\/li>\n<\/ul>\n<p> <img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-56945\" src=\"https:\/\/ai-bot.cn\/wp-content\/uploads\/2025\/07\/\u672a\u547d\u540d_20250710220242-27.png\"  alt=\"Daily Dose of Data Science Full Archive\" width=\"678\" height=\"613\" \/> <\/p>\n<h4 data-sourcepos=\"21:1-21:27\"><strong data-sourcepos=\"21:6-21:27\">\u56de\u5f52\u5206\u6790<\/strong><\/h4>\n<ul data-sourcepos=\"22:1-33:50\">\n<li data-sourcepos=\"22:1-23:49\"><strong data-sourcepos=\"22:3-22:15\">MSE\u7684\u6570\u5b66\u539f\u7406<\/strong>\uff1a\u5747\u65b9\u8bef\u5dee\uff08MSE\uff09\u7684\u51f8\u6027\u4fdd\u8bc1\u68af\u5ea6\u4e0b\u964d\u6536\u655b\u5230\u5168\u5c40\u6700\u4f18\uff0c\u4e14\u5bf9\u5f02\u5e38\u503c\u654f\u611f\uff08\u5e73\u65b9\u653e\u5927\u8bef\u5dee\uff09\u3002<\/li>\n<li data-sourcepos=\"24:1-25:50\"><strong data-sourcepos=\"24:3-24:22\">Sklearn\u7ebf\u6027\u56de\u5f52\u65e0\u8d85\u53c2\u6570<\/strong>\uff1a\u56e0\u4f7f\u7528\u95ed\u5f0f\u89e3\uff08\u89e3\u6790\u89e3\uff09\u76f4\u63a5\u8ba1\u7b97\u6743\u91cd\uff0c\u65e0\u9700\u8fed\u4ee3\u4f18\u5316\uff0c\u4f46\u65e0\u6cd5\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\uff08\u9700\u68af\u5ea6\u4e0b\u964d\uff09\u3002<\/li>\n<li data-sourcepos=\"26:1-27:46\"><strong data-sourcepos=\"26:3-26:20\">\u6cca\u677e\u56de\u5f52 vs. \u7ebf\u6027\u56de\u5f52<\/strong>\uff1a\u6cca\u677e\u56de\u5f52\u901a\u8fc7\u5bf9\u6570\u8fde\u63a5\u51fd\u6570\u5904\u7406\u8ba1\u6570\u6570\u636e\uff08\u5982\u4e8b\u4ef6\u6b21\u6570\uff09\uff0c\u7ebf\u6027\u56de\u5f52\u62df\u5408\u8fde\u7eed\u76ee\u6807\u53d8\u91cf\u3002<\/li>\n<li data-sourcepos=\"28:1-29:50\"><strong data-sourcepos=\"28:3-28:13\">\u865a\u62df\u53d8\u91cf\u9677\u9631<\/strong>\uff1a\u7c7b\u522b\u53d8\u91cf\u7f16\u7801\u65f6\u9700\u5ffd\u7565\u4e00\u4e2a\u7c7b\u522b\uff08\u5982\u6027\u522b\u4e2d\u7684\u201c\u7537\u6027\u201d\uff09\uff0c\u907f\u514d\u8bbe\u8ba1\u77e9\u9635\u79e9\u7f3a\u5931\u5bfc\u81f4\u591a\u91cd\u5171\u7ebf\u6027\u3002<\/li>\n<li data-sourcepos=\"30:1-31:50\"><strong data-sourcepos=\"30:3-30:19\">\u5e7f\u4e49\u7ebf\u6027\u6a21\u578b\uff08GLMs\uff09<\/strong>\uff1a\u6269\u5c55\u7ebf\u6027\u56de\u5f52\u81f3\u6307\u6570\u65cf\u5206\u5e03\uff08\u5982\u4e8c\u9879\u5206\u5e03\u3001\u6cca\u677e\u5206\u5e03\uff09\uff0c\u901a\u8fc7\u8fde\u63a5\u51fd\u6570\u5173\u8054\u7ebf\u6027\u9884\u6d4b\u4e0e\u76ee\u6807\u53d8\u91cf\u3002<\/li>\n<li data-sourcepos=\"32:1-33:50\"><strong data-sourcepos=\"32:3-32:12\">\u96f6\u81a8\u80c0\u56de\u5f52<\/strong>\uff1a\u9488\u5bf9\u96f6\u503c\u8fc7\u591a\u7684\u8ba1\u6570\u6570\u636e\uff08\u5982\u4fdd\u9669\u7d22\u8d54\uff09\uff0c\u7ed3\u5408\u903b\u8f91\u56de\u5f52\uff08\u662f\u5426\u4e3a\u96f6\uff09\u4e0e\u6cca\u677e\u56de\u5f52\uff08\u8ba1\u6570\u90e8\u5206\uff09\u3002<\/li>\n<\/ul>\n<h4 data-sourcepos=\"37:1-37:31\"><strong data-sourcepos=\"37:6-37:31\">\u51b3\u7b56\u6811\u4e0e\u96c6\u6210\u65b9\u6cd5<\/strong><\/h4>\n<ul data-sourcepos=\"38:1-45:46\">\n<li data-sourcepos=\"38:1-39:44\"><strong data-sourcepos=\"38:3-38:17\">\u968f\u673a\u68ee\u6797\u538b\u7f29\u4e3a\u5355\u68f5\u6811<\/strong>\uff1a\u901a\u8fc7\u63d0\u53d6\u91cd\u8981\u89c4\u5219\u8def\u5f84\uff0c\u5c06\u68ee\u6797\u7b80\u5316\u4e3a\u5355\u4e00\u51b3\u7b56\u6811\uff0c\u727a\u7272\u90e8\u5206\u7cbe\u5ea6\u4ee5\u63d0\u5347\u53ef\u89e3\u91ca\u6027\u3002<\/li>\n<li data-sourcepos=\"40:1-41:52\"><strong data-sourcepos=\"40:3-40:15\">\u51b3\u7b56\u6811\u5fc5\u7136\u8fc7\u62df\u5408<\/strong>\uff1a\u56e0\u5176\u4f4e\u504f\u5dee\u7279\u6027\uff08\u5b8c\u7f8e\u62df\u5408\u8bad\u7ec3\u6570\u636e\uff09\uff0c\u9700\u901a\u8fc7\u526a\u679d\u3001\u9650\u5236\u6df1\u5ea6\u6216\u96c6\u6210\u65b9\u6cd5\uff08\u5982\u968f\u673a\u68ee\u6797\uff09\u63a7\u5236\u65b9\u5dee\u3002<\/li>\n<li data-sourcepos=\"42:1-43:47\"><strong data-sourcepos=\"42:3-42:17\">AdaBoost\u539f\u7406<\/strong>\uff1a\u8fed\u4ee3\u8bad\u7ec3\u5f31\u5206\u7c7b\u5668\uff08\u5982\u6d45\u5c42\u6811\uff09\uff0c\u8c03\u6574\u6837\u672c\u6743\u91cd\u805a\u7126\u8bef\u5206\u7c7b\u6837\u672c\uff0c\u52a0\u6743\u6295\u7968\u63d0\u5347\u6574\u4f53\u6027\u80fd\u3002<\/li>\n<li data-sourcepos=\"44:1-45:46\"><strong data-sourcepos=\"44:3-44:16\">\u888b\u5916\u9a8c\u8bc1\uff08OOB\uff09<\/strong>\uff1a\u5229\u7528\u968f\u673a\u68ee\u6797\u4e2d\u672a\u91c7\u6837\u6570\u636e\uff08\u7ea637%\uff09\u4f5c\u4e3a\u9a8c\u8bc1\u96c6\uff0c\u65e0\u9700\u989d\u5916\u5212\u5206\u6570\u636e\u5373\u53ef\u8bc4\u4f30\u6a21\u578b\u3002<\/li>\n<\/ul>\n<p> <img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-56971\" src=\"https:\/\/ai-bot.cn\/wp-content\/uploads\/2025\/07\/\u672a\u547d\u540d_20250710220242-29-1.png\"  alt=\"Daily Dose of Data Science Full Archive\" width=\"678\" height=\"565\" \/> <\/p>\n<h4 data-sourcepos=\"49:1-49:25\"><strong data-sourcepos=\"49:6-49:25\">\u964d\u7ef4<\/strong><\/h4>\n<ul data-sourcepos=\"50:1-55:49\">\n<li data-sourcepos=\"50:1-51:48\"><strong data-sourcepos=\"50:3-50:14\">PCA\u65b9\u5dee\u89e3\u91ca<\/strong>\uff1a\u9009\u62e9\u4e3b\u6210\u5206\u65f6\u4fdd\u755995%\u7d2f\u8ba1\u65b9\u5dee\uff0c\u5e73\u8861\u964d\u7ef4\u6548\u679c\u4e0e\u4fe1\u606f\u635f\u5931\uff0c\u9002\u7528\u4e8e\u7279\u5f81\u76f8\u5173\u6027\u9ad8\u7684\u573a\u666f\u3002<\/li>\n<li data-sourcepos=\"52:1-53:51\"><strong data-sourcepos=\"52:3-52:20\">t-SNE vs. PCA<\/strong>\uff1at-SNE\u901a\u8fc7t\u5206\u5e03\u4fdd\u7559\u5c40\u90e8\u76f8\u4f3c\u6027\uff08\u9002\u5408\u53ef\u89c6\u5316\u805a\u7c7b\uff09\uff0cPCA\u4fdd\u7559\u5168\u5c40\u65b9\u5dee\uff08\u9002\u5408\u9884\u5904\u7406\uff09\u3002<\/li>\n<li data-sourcepos=\"54:1-55:49\"><strong data-sourcepos=\"54:3-54:11\">\u6838PCA<\/strong>\uff1a\u901a\u8fc7\u6838\u51fd\u6570\uff08\u5982RBF\uff09\u6620\u5c04\u6570\u636e\u5230\u9ad8\u7ef4\u7a7a\u95f4\uff0c\u5904\u7406\u975e\u7ebf\u6027\u7ed3\u6784\uff0c\u8ba1\u7b97\u590d\u6742\u5ea6\u9ad8\u4e8e\u7ebf\u6027PCA\u3002<\/li>\n<\/ul>\n<h4 data-sourcepos=\"59:1-59:25\"><strong data-sourcepos=\"59:6-59:25\">Section 2.7: \u805a\u7c7b<\/strong><\/h4>\n<ul data-sourcepos=\"60:1-65:40\">\n<li data-sourcepos=\"60:1-61:50\"><strong data-sourcepos=\"60:3-60:29\">KMeans vs. \u9ad8\u65af\u6df7\u5408\u6a21\u578b\uff08GMM\uff09<\/strong>\uff1aKMeans\u786c\u5206\u914d\u6837\u672c\u5230\u6700\u8fd1\u7c07\uff0cGMM\u8f6f\u5206\u914d\uff08\u6982\u7387\u5f52\u5c5e\uff09\uff0c\u540e\u8005\u66f4\u7075\u6d3b\u4f46\u9700\u66f4\u591a\u8ba1\u7b97\u8d44\u6e90\u3002<\/li>\n<li data-sourcepos=\"62:1-63:38\"><strong data-sourcepos=\"62:3-62:17\">DBSCAN++\u4f18\u5316<\/strong>\uff1a\u51cf\u5c11\u90bb\u57df\u67e5\u8be2\u6b21\u6570\uff0c\u901a\u8fc7\u91c7\u6837\u6838\u5fc3\u70b9\u52a0\u901f\u5bc6\u5ea6\u805a\u7c7b\uff0c\u9002\u5408\u5927\u89c4\u6a21\u6570\u636e\u3002<\/li>\n<li data-sourcepos=\"64:1-65:40\"><strong data-sourcepos=\"64:3-64:25\">\u5c42\u6b21\u5316DBSCAN\uff08HDBSCAN\uff09<\/strong>\uff1a\u81ea\u52a8\u786e\u5b9a\u7c07\u6570\u91cf\uff0c\u8bc6\u522b\u53d8\u5bc6\u5ea6\u7c07\uff0c\u4f18\u4e8e\u4f20\u7edfDBSCAN\u7684\u56fa\u5b9a\u53c2\u6570\u9650\u5236\u3002<\/li>\n<\/ul>\n<h4 data-sourcepos=\"69:1-69:28\"><strong data-sourcepos=\"69:6-69:28\">\u76f8\u5173\u6027\u5206\u6790<\/strong><\/h4>\n<ul data-sourcepos=\"70:1-73:45\">\n<li data-sourcepos=\"70:1-71:44\"><strong data-sourcepos=\"70:3-70:16\">\u76ae\u5c14\u900a\u76f8\u5173\u6027\u7684\u5c40\u9650<\/strong>\uff1a\u4ec5\u68c0\u6d4b\u7ebf\u6027\u5173\u7cfb\uff0cSpearman\u79e9\u76f8\u5173\u53ef\u6355\u6349\u5355\u8c03\u975e\u7ebf\u6027\u5173\u7cfb\uff08\u5982\u6307\u6570\u5173\u7cfb\uff09\u3002<\/li>\n<li data-sourcepos=\"72:1-73:45\"><strong data-sourcepos=\"72:3-72:20\">Anscombe\u56db\u91cd\u594f\u542f\u793a<\/strong>\uff1a\u76f8\u540c\u7edf\u8ba1\u91cf\uff08\u5747\u503c\u3001\u65b9\u5dee\u3001\u76f8\u5173\u7cfb\u6570\uff09\u53ef\u80fd\u5bf9\u5e94\u5b8c\u5168\u4e0d\u540c\u7684\u6570\u636e\u5206\u5e03\uff0c\u9700\u53ef\u89c6\u5316\u9a8c\u8bc1\u3002<\/li>\n<\/ul>\n<h4 data-sourcepos=\"77:1-77:30\"><strong data-sourcepos=\"77:6-77:30\">\u7f3a\u5931\u6570\u636e\u5904\u7406<\/strong><\/h4>\n<ul data-sourcepos=\"78:1-81:49\">\n<li data-sourcepos=\"78:1-79:49\"><strong data-sourcepos=\"78:3-78:27\">\u7f3a\u5931\u503c\u7c7b\u578b\uff08MCAR\/MAR\/MNAR\uff09<\/strong>\uff1aMCAR\uff08\u5b8c\u5168\u968f\u673a\u7f3a\u5931\uff09\u53ef\u5220\u9664\uff0cMNAR\uff08\u975e\u968f\u673a\u7f3a\u5931\uff09\u9700\u5efa\u6a21\u7f3a\u5931\u673a\u5236\uff08\u5982\u751f\u5b58\u5206\u6790\uff09\u3002<\/li>\n<li data-sourcepos=\"80:1-81:49\"><strong data-sourcepos=\"80:3-80:19\">MissForest\u63d2\u8865<\/strong>\uff1a\u57fa\u4e8e\u968f\u673a\u68ee\u6797\u8fed\u4ee3\u9884\u6d4b\u7f3a\u5931\u503c\uff0c\u9002\u7528\u4e8e\u6df7\u5408\u7c7b\u578b\u6570\u636e\uff08\u6570\u503c+\u7c7b\u522b\uff09\uff0c\u4f18\u4e8e\u5747\u503c\/\u4e2d\u4f4d\u6570\u586b\u5145\u3002<\/li>\n<\/ul>\n<p> <img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-56972\" src=\"https:\/\/ai-bot.cn\/wp-content\/uploads\/2025\/07\/\u672a\u547d\u540d_20250710220242-30.png\"  alt=\"Daily Dose of Data Science Full Archive\" width=\"678\" height=\"422\" \/> <\/p>\n<h4 data-sourcepos=\"85:1-85:30\"><strong data-sourcepos=\"85:6-85:30\">\u6570\u636e\u5206\u6790\u5de5\u5177<\/strong><\/h4>\n<ul data-sourcepos=\"86:1-89:53\">\n<li data-sourcepos=\"86:1-87:62\"><strong data-sourcepos=\"86:3-86:36\">Pandas\/Polars\/SQL\/PySpark\u8bed\u6cd5\u5bf9\u7167<\/strong>\uff1a\u5982\u5206\u7ec4\u805a\u5408\uff1aPandas\u7684<code data-sourcepos=\"87:18-87:27\">groupby<\/code>\u00a0vs. PySpark\u7684<code data-sourcepos=\"87:40-87:49\">groupBy<\/code>\uff0c\u5e2e\u52a9\u8de8\u5e73\u53f0\u8fc1\u79fb\u4ee3\u7801\u3002<\/li>\n<li data-sourcepos=\"88:1-89:53\"><strong data-sourcepos=\"88:3-88:31\">GPU\u52a0\u901fPandas\uff08RAPIDS cuDF\uff09<\/strong>\uff1a\u5229\u7528GPU\u5e76\u884c\u5316\u6570\u636e\u64cd\u4f5c\uff08\u5982\u6392\u5e8f\u3001JOIN\uff09\uff0c\u52a0\u901f\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\uff0c\u517c\u5bb9Pandas API\u3002<\/li>\n<\/ul>\n<h4 data-sourcepos=\"93:1-93:31\"><strong data-sourcepos=\"93:6-93:31\">SQL\u9ad8\u7ea7\u64cd\u4f5c<\/strong><\/h4>\n<ul data-sourcepos=\"94:1-97:63\">\n<li data-sourcepos=\"94:1-95:62\"><strong data-sourcepos=\"94:3-94:21\">\u534a\u8fde\u63a5\uff08Semi Join\uff09<\/strong>\uff1a\u4ec5\u8fd4\u56de\u5de6\u8868\u4e2d\u4e0e\u53f3\u8868\u5339\u914d\u7684\u884c\uff08\u5982<code data-sourcepos=\"95:20-95:34\">WHERE EXISTS<\/code>\uff09\uff0c\u8fc7\u6ee4\u65e0\u9700\u53f3\u8868\u5b57\u6bb5\u65f6\u6548\u7387\u9ad8\u4e8eINNER JOIN\u3002<\/li>\n<li data-sourcepos=\"96:1-97:63\"><strong data-sourcepos=\"96:3-96:15\">\u614e\u7528NOT IN<\/strong>\uff1a\u53f3\u8868\u542bNULL\u503c\u65f6\u7ed3\u679c\u53ef\u80fd\u4e3a\u7a7a\uff0c\u6539\u7528<code data-sourcepos=\"97:23-97:35\">NOT EXISTS<\/code>\u6216<code data-sourcepos=\"97:36-97:57\">LEFT JOIN + IS NULL<\/code>\u66f4\u5b89\u5168\u3002<\/li>\n<\/ul>\n<h4 data-sourcepos=\"101:1-101:34\"><strong data-sourcepos=\"101:6-101:34\">Python\u9762\u5411\u5bf9\u8c61<\/strong><\/h4>\n<ul data-sourcepos=\"102:1-105:57\">\n<li data-sourcepos=\"102:1-103:67\"><strong data-sourcepos=\"102:3-102:23\">\u63cf\u8ff0\u7b26\uff08Descriptors\uff09<\/strong>\uff1a\u901a\u8fc7<code data-sourcepos=\"103:7-103:16\">__get__<\/code>\/<code data-sourcepos=\"103:17-103:26\">__set__<\/code>\u65b9\u6cd5\u63a7\u5236\u5c5e\u6027\u8bbf\u95ee\uff0c\u5b9e\u73b0\u5ef6\u8fdf\u8ba1\u7b97\u3001\u7c7b\u578b\u6821\u9a8c\uff08\u5982<code data-sourcepos=\"103:48-103:59\">@property<\/code>\u5e95\u5c42\u673a\u5236\uff09\u3002<\/li>\n<li data-sourcepos=\"104:1-105:57\"><strong data-sourcepos=\"104:3-104:28\">PyTorch\u4e0d\u76f4\u63a5\u8c03\u7528forward()<\/strong>\uff1a<code data-sourcepos=\"105:5-105:14\">model()<\/code>\u81ea\u52a8\u89e6\u53d1forward\uff0c\u96c6\u6210\u94a9\u5b50\uff08\u5982\u524d\u7f6e\/\u540e\u7f6e\u5904\u7406\uff09\u4e0e\u81ea\u52a8\u5fae\u5206\uff0c\u4fdd\u6301\u8ba1\u7b97\u56fe\u5b8c\u6574\u6027\u3002<\/li>\n<\/ul>\n<h2>AI Engineering Hub\u7684\u9879\u76ee\u5730\u5740<\/h2>\n<ul>\n<li><strong>GitHub\u4ed3\u5e93<\/strong>\uff1ahttps:\/\/github.com\/patchy631\/ai-engineering-hub<\/li>\n<\/ul>\n<h2>AI Engineering Hub\u7684\u9002\u7528\u4eba\u7fa4<\/h2>\n<ul>\n<li><strong>\u521d\u5b66\u8005<\/strong>\uff1a\u4e3a\u5bf9 AI \u611f\u5174\u8da3\u4f46\u7f3a\u4e4f\u7ecf\u9a8c\u7684\u5b66\u4e60\u8005\u63d0\u4f9b\u57fa\u7840\u6982\u5ff5\u8bb2\u89e3\u548c\u5b9e\u8df5\u6307\u5357\uff0c\u5e2e\u52a9\u5feb\u901f\u5165\u95e8\u3002<\/li>\n<li><strong>\u5f00\u53d1\u8005\u548c\u5b9e\u8df5\u8005<\/strong>\uff1a\u4e3a\u5de5\u7a0b\u5e08\u548c\u5f00\u53d1\u8005\u63d0\u4f9b\u5177\u4f53\u4ee3\u7801\u793a\u4f8b\u548c\u5b9e\u8df5\u6848\u4f8b\uff0c\u52a9\u529b\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u5e94\u7528 AI 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