{"id":188630,"date":"2024-05-09T17:00:15","date_gmt":"2024-05-09T09:00:15","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/188630.html"},"modified":"2024-05-09T17:00:18","modified_gmt":"2024-05-09T09:00:18","slug":"%e5%ad%a6%e4%b9%a0%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e6%9c%89%e5%93%aa%e4%ba%9b%e6%95%99%e7%a7%91%e4%b9%a6%e6%8e%a8%e8%8d%90%e4%b8%80%e4%b8%8b","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/188630.html","title":{"rendered":"\u5b66\u4e60\u673a\u5668\u5b66\u4e60\u6709\u54ea\u4e9b\u6559\u79d1\u4e66\u63a8\u8350\u4e00\u4e0b"},"content":{"rendered":"

\"\u5b66\u4e60\u673a\u5668\u5b66\u4e60\u6709\u54ea\u4e9b\u6559\u79d1\u4e66\u63a8\u8350\u4e00\u4e0b\"<\/p>\n

\u5b66\u4e60\u673a\u5668\u5b66\u4e60<\/a>\u63a8\u8350\u7684\u6559\u79d1\u4e66\u4e3b\u8981\u6709\u300a\u673a\u5668\u5b66\u4e60\u300b\uff08\u5468\u5fd7\u534e\u8457\uff09\u3001\u300a\u6df1\u5ea6\u5b66\u4e60\u300b\uff08Ian Goodfellow\u3001Yoshua Bengio\u548cAaron Courville\u8457\uff09\u3001\u300aPython\u6570\u636e\u79d1\u5b66\u624b\u518c\u300b\uff08Jake VanderPlas\u8457\uff09\u7b49\u3002\u8fd9\u4e9b\u4e66\u7c4d\u5404\u6709\u4fa7\u91cd\uff0c\u9002\u5408\u4e0d\u540c\u5c42\u6b21\u7684\u8bfb\u8005\u5b66\u4e60\u548c\u53c2\u8003\u3002<\/strong>\u300a\u673a\u5668\u5b66\u4e60\u300b\uff08\u5468\u5fd7\u534e\u8457\uff09\u662f\u8be5\u9886\u57df\u7684\u7ecf\u5178\u6559\u6750\uff0c\u7cfb\u7edf\u5168\u9762\u5730\u4ecb\u7ecd\u4e86\u673a\u5668\u5b66\u4e60\u7684\u4e3b\u8981\u7b97\u6cd5\u548c\u7406\u8bba\u57fa\u7840\uff0c\u9002\u5408\u521d\u5b66\u8005\u548c\u8fdb\u9636\u8005\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u300a\u673a\u5668\u5b66\u4e60\u300b\u5468\u5fd7\u534e\u8457<\/h3>\n<\/p>\n

\u8be5\u4e66\u5168\u9762\u8986\u76d6\u4e86\u673a\u5668\u5b66\u4e60\u7684\u57fa\u7840\u77e5\u8bc6\uff0c\u4ece\u76d1\u7763\u5b66\u4e60\u3001\u975e\u76d1\u7763\u5b66\u4e60\u5230\u5f3a\u5316\u5b66\u4e60\uff0c\u6bcf\u4e00\u79cd\u5b66\u4e60\u65b9\u5f0f\u90fd\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u76f8\u5e94\u7684\u7b97\u6cd5\u548c\u5b9e\u8df5\u65b9\u6cd5\u3002\u4e66\u4e2d\u9996\u5148\u542f\u8499\u4e86\u673a\u5668\u5b66\u4e60\u7684\u57fa\u672c\u6982\u5ff5\u548c\u7b97\u6cd5\u539f\u7406\uff0c\u968f\u540e\u901a\u8fc7\u5927\u91cf\u7684\u5b9e\u4f8b\u6559\u5b66\u4e0e\u4e60\u9898\uff0c\u4fc3\u4f7f\u8bfb\u8005\u80fd\u591f\u7406\u89e3\u5e76\u638c\u63e1\u673a\u5668\u5b66\u4e60\u7684\u6838\u5fc3\u6280\u5de7\u3002\u7279\u522b\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u5468\u5fd7\u534e\u6559\u6388\u51ed\u501f\u5176\u6df1\u539a\u7684\u5b66\u672f\u80cc\u666f\u548c\u5b9e\u9645\u7ecf\u9a8c\uff0c\u5728\u4e66\u4e2d\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u73b0\u5b9e\u4e16\u754c\u6848\u4f8b\uff0c\u8ba9\u8bfb\u8005\u80fd\u591f\u66f4\u597d\u5730\u4e86\u89e3\u673a\u5668\u5b66\u4e60\u6280\u672f\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\u7684\u5e94\u7528<\/strong>\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u300a\u6df1\u5ea6\u5b66\u4e60\u300bIan Goodfellow\u3001Yoshua Bengio\u548cAaron Courville\u8457<\/h3>\n<\/p>\n

\u4f5c\u4e3a\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684\u6743\u5a01\u4f5c\u54c1\u4e4b\u4e00\uff0c\u8be5\u4e66\u7531\u4e09\u4f4d\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684\u9876\u5c16\u79d1\u5b66\u5bb6\u5408\u8457\u3002\u5b83\u4ece\u6df1\u5ea6\u5b66\u4e60\u7684\u57fa\u7840\u77e5\u8bc6\u8bb2\u8d77\uff0c\u6df1\u5165\u6d45\u51fa\u5730\u4ecb\u7ecd\u4e86\u6df1\u5ea6\u5b66\u4e60\u7684\u6838\u5fc3\u6280\u672f\u548c\u7b97\u6cd5\uff0c\u8986\u76d6\u4e86\u4ece\u57fa\u7840\u7406\u8bba\u5230\u5b9e\u9645\u5e94\u7528\u7684\u5168\u65b9\u4f4d\u5185\u5bb9\uff0c\u662f\u8fdb\u9636\u5b66\u4e60\u6df1\u5ea6\u5b66\u4e60\u4e0d\u53ef\u6216\u7f3a\u7684\u6559\u6750\u3002\u8be5\u4e66\u7279\u522b\u7a81\u51fa\u4e86\u6df1\u5ea6\u5b66\u4e60\u7684\u6570\u5b66\u57fa\u7840<\/strong>\uff0c\u5305\u62ec\u7ebf\u6027\u4ee3\u6570\u3001\u6982\u7387\u8bba\u548c\u4fe1\u606f\u8bba\u7b49\uff0c\u975e\u5e38\u9002\u5408\u6709\u4e00\u5b9a\u6570\u5b66\u57fa\u7840\u5e76\u5e0c\u671b\u6df1\u5165\u7814\u7a76\u6df1\u5ea6\u5b66\u4e60\u7684\u8bfb\u8005\u3002<\/p>\n<\/p>\n

\u4e09\u3001\u300aPython\u6570\u636e\u79d1\u5b66\u624b\u518c\u300bJake VanderPlas\u8457<\/h3>\n<\/p>\n

\u5bf9\u4e8e\u673a\u5668\u5b66\u4e60\u5b9e\u8df5\u800c\u8a00\uff0c\u7f16\u7a0b\u8bed\u8a00\u7684\u9009\u62e9\u81f3\u5173\u91cd\u8981\u3002\u8be5\u4e66\u662f\u4e00\u672c\u4ee5Python\u8bed\u8a00\u4e3a\u57fa\u7840\uff0c\u5168\u9762\u4ecb\u7ecd\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u4e2d\u5e38\u7528\u5de5\u5177\u548c\u5e93\uff08\u5982Numpy\u3001Pandas\u3001Matplotlib\u548cScikit-Learn\u7b49\uff09\u7684\u4f7f\u7528\u6559\u7a0b\u3002\u4e66\u4e2d\u4e0d\u4ec5\u8be6\u7ec6\u8bb2\u89e3\u4e86\u5404\u4e2a\u5e93\u7684\u4f7f\u7528\u65b9\u6cd5\uff0c\u8fd8\u901a\u8fc7\u4e30\u5bcc\u7684\u793a\u4f8b\u4ee3\u7801\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u5e94\u7528\u8fd9\u4e9b\u5de5\u5177\u3002\u5c24\u5176\u5bf9\u4e8e\u5e0c\u671b\u5c06\u673a\u5668\u5b66\u4e60\u7406\u8bba\u5e94\u7528\u5230\u5b9e\u8df5\u9879\u76ee\u4e2d\u7684\u8bfb\u8005\u6765\u8bf4\uff0c\u662f\u4e00\u672c\u4e0d\u53ef\u591a\u5f97\u7684\u5b9e\u7528\u6307\u5357<\/strong>\u3002<\/p>\n<\/p>\n

\u56db\u3001\u5176\u4ed6\u63a8\u8350\u4e66\u7c4d<\/h3>\n<\/p>\n

\u9664\u4e86\u4e0a\u8ff0\u51e0\u672c\u7ecf\u5178\u4e66\u7c4d\u5916\uff0c\u8fd8\u6709\u4e00\u4e9b\u4e13\u4e1a\u4e66\u7c4d\u4e5f\u975e\u5e38\u503c\u5f97\u63a8\u8350\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\uff1a<\/p>\n<\/p>\n

    \n
  • \n

    \u300a\u7edf\u8ba1\u5b66\u4e60\u65b9\u6cd5\u300b\u674e\u822a\u8457<\/strong>\uff1a\u8be5\u4e66\u7cfb\u7edf\u5730\u4ecb\u7ecd\u4e86\u7edf\u8ba1\u5b66\u4e60\u7684\u4e3b\u8981\u65b9\u6cd5\uff0c\u7279\u522b\u662f\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5\uff0c\u9002\u5408\u5bf9\u7406\u8bba\u6709\u6df1\u5165\u7814\u7a76\u9700\u6c42\u7684\u8bfb\u8005\u3002<\/p>\n<\/p>\n<\/li>\n

  • \n

    \u300a\u673a\u5668\u5b66\u4e60\u5b9e\u6218\u300bPeter Harrington\u8457<\/strong>\uff1a\u672c\u4e66\u901a\u8fc7Python\u8bed\u8a00\u4ecb\u7ecd\u4e86\u5341\u51e0\u79cd\u5e38\u89c1\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7684\u5b9e\u73b0\u8fc7\u7a0b\uff0c\u6ce8\u91cd\u5b9e\u8df5\u64cd\u4f5c\uff0c\u9002\u5408\u6709\u4e00\u5b9a\u7f16\u7a0b\u57fa\u7840\uff0c\u5e0c\u671b\u901a\u8fc7\u9879\u76ee\u5b9e\u8df5\u6df1\u5165\u5b66\u4e60\u673a\u5668\u5b66\u4e60\u7684\u8bfb\u8005\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n

    \u8fd9\u4e9b\u4e66\u7c4d\u4ece\u7406\u8bba\u5230\u5b9e\u8df5\uff0c\u4ece\u57fa\u7840\u5230\u8fdb\u9636\uff0c\u6db5\u76d6\u4e86\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u5404\u4e2a\u65b9\u9762\uff0c\u662f\u5b66\u4e60\u548c\u6df1\u5165\u7814\u7a76\u673a\u5668\u5b66\u4e60\u4e0d\u53ef\u6216\u7f3a\u7684\u5b9d\u8d35\u8d44\u6e90\u3002\u65e0\u8bba\u4f60\u662f\u673a\u5668\u5b66\u4e60\u7684\u521d\u5b66\u8005\uff0c\u8fd8\u662f\u5df2\u6709\u4e00\u5b9a\u57fa\u7840\uff0c\u5e0c\u671b\u8fdb\u4e00\u6b65\u63d0\u5347\u81ea\u5df1\u7684\u7814\u7a76\u8005\uff0c\u901a\u8fc7\u8fd9\u4e9b\u6559\u79d1\u4e66\u7684\u5b66\u4e60\uff0c\u5c06\u4f1a\u5927\u5927\u52a0\u6df1\u4f60\u5bf9\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u7406\u89e3\u548c\u638c\u63e1\u3002<\/p>\n<\/p>\n

    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n

    \u6709\u54ea\u4e9b\u503c\u5f97\u63a8\u8350\u7684\u673a\u5668\u5b66\u4e60\u6559\u79d1\u4e66\uff1f<\/strong><\/p>\n

      \n
    • \n

      \u300aPattern Recognition and Machine Learning\u300b\uff08\u82f1\u6587\u539f\u7248\uff09\u662f\u4e00\u672c\u7ecf\u5178\u7684\u673a\u5668\u5b66\u4e60\u6559\u79d1\u4e66\uff0c\u4f5c\u8005\u662fChristopher M. Bishop\uff0c\u5185\u5bb9\u6db5\u76d6\u4e86\u673a\u5668\u5b66\u4e60\u57fa\u7840\u3001\u6a21\u5f0f\u8bc6\u522b\u3001\u6982\u7387\u8bba\u548c\u7edf\u8ba1\u7b49\u65b9\u9762\u7684\u77e5\u8bc6\u3002\u8fd9\u672c\u4e66\u6df1\u5165\u6d45\u51fa\u5730\u4ecb\u7ecd\u4e86\u5e38\u89c1\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u548c\u6280\u672f\uff0c\u5e76\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6848\u4f8b\u548c\u5b9e\u4f8b\u5e2e\u52a9\u8bfb\u8005\u7406\u89e3\u548c\u5e94\u7528\u8fd9\u4e9b\u7b97\u6cd5\u3002<\/p>\n<\/li>\n

    • \n

      \u300a\u7edf\u8ba1\u5b66\u4e60\u65b9\u6cd5\u300b\u662f\u674e\u822a\u6559\u6388\u7f16\u8457\u7684\u4e00\u672c\u4f18\u79c0\u7684\u673a\u5668\u5b66\u4e60\u6559\u6750\uff0c\u6db5\u76d6\u4e86\u7edf\u8ba1\u5b66\u4e60\u7684\u57fa\u672c\u539f\u7406\u3001\u5e38\u89c1\u7684\u7b97\u6cd5\u548c\u6280\u672f\uff0c\u5982\u611f\u77e5\u673a\u3001\u652f\u6301\u5411\u91cf\u673a\u3001\u51b3\u7b56\u6811\u3001\u968f\u673a\u68ee\u6797\u7b49\u3002\u8fd9\u672c\u4e66\u57fa\u4e8e\u7edf\u8ba1\u5b66\u4e60\u7406\u8bba\uff0c\u7ed3\u5408\u4e86\u6570\u5b66\u63a8\u5bfc\u548c\u5b9e\u9645\u5e94\u7528\uff0c\u9002\u5408\u60f3\u8981\u6df1\u5165\u7406\u89e3\u673a\u5668\u5b66\u4e60\u539f\u7406\u7684\u8bfb\u8005\u3002<\/p>\n<\/li>\n

    • \n

      \u300a\u673a\u5668\u5b66\u4e60\u300b\u662f\u5468\u5fd7\u534e\u6559\u6388\u7684\u8457\u4f5c\uff0c\u662f\u4e00\u672c\u6df1\u5165\u6d45\u51fa\u7684\u673a\u5668\u5b66\u4e60\u6559\u6750\u3002\u8fd9\u672c\u4e66\u7cfb\u7edf\u5730\u4ecb\u7ecd\u4e86\u673a\u5668\u5b66\u4e60\u7684\u57fa\u672c\u6982\u5ff5\u3001\u7b97\u6cd5\u548c\u5e94\u7528\uff0c\u5305\u62ec\u76d1\u7763\u5b66\u4e60\u3001\u65e0\u76d1\u7763\u5b66\u4e60\u3001\u534a\u76d1\u7763\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u7b49\u5185\u5bb9\u3002\u4e66\u4e2d\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6848\u4f8b\u548c\u5b9e\u4f8b\uff0c\u5e2e\u52a9\u8bfb\u8005\u7406\u89e3\u548c\u5e94\u7528\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u3002<\/p>\n<\/li>\n<\/ul>\n

      \u5982\u4f55\u9009\u62e9\u9002\u5408\u81ea\u5df1\u7684\u673a\u5668\u5b66\u4e60\u6559\u79d1\u4e66\uff1f<\/strong><\/p>\n

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      \u9664\u4e86\u6559\u79d1\u4e66\uff0c\u8fd8\u6709\u54ea\u4e9b\u8d44\u6e90\u53ef\u4ee5\u5e2e\u52a9\u5b66\u4e60\u673a\u5668\u5b66\u4e60\uff1f<\/strong><\/p>\n

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