{"id":185537,"date":"2024-05-09T14:35:56","date_gmt":"2024-05-09T06:35:56","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/185537.html"},"modified":"2024-05-09T14:36:04","modified_gmt":"2024-05-09T06:36:04","slug":"%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%ef%bc%8c%e5%9c%a8%e7%90%86%e8%ae%ba%e5%92%8c%e7%bc%96%e7%a8%8b%e6%96%b9%e9%9d%a2%e8%a6%81%e5%a6%82%e4%bd%95%e5%87%86%e5%a4%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/185537.html","title":{"rendered":"\u673a\u5668\u5b66\u4e60\uff0c\u5728\u7406\u8bba\u548c\u7f16\u7a0b\u65b9\u9762\u8981\u5982\u4f55\u51c6\u5907"},"content":{"rendered":"

\"\u673a\u5668\u5b66\u4e60\uff0c\u5728\u7406\u8bba\u548c\u7f16\u7a0b\u65b9\u9762\u8981\u5982\u4f55\u51c6\u5907\"<\/p>\n

\u673a\u5668\u5b66\u4e60<\/a>\u9886\u57df\u7684\u51c6\u5907\u8981\u70b9\u4e3b\u8981\u6d89\u53ca\u7406\u8bba\u5b66\u4e60\u3001\u7f16\u7a0b\u6280\u80fd\u7684\u953b\u70bc\u3001\u5b9e\u8df5\u9879\u76ee\u7684\u7ecf\u5386\u3001\u4ee5\u53ca\u6301\u7eed\u66f4\u65b0\u7684\u6001\u5ea6\u3002\u5728\u7406\u8bba\u65b9\u9762\uff0c\u91cd\u70b9\u662f\u5bf9\u673a\u5668\u5b66\u4e60\u7684\u57fa\u672c\u6982\u5ff5\u3001\u7b97\u6cd5\u3001\u4ee5\u53ca\u6570\u5b66\u80cc\u666f\u7684\u6df1\u5165\u7406\u89e3\u3002\u5728\u7f16\u7a0b\u65b9\u9762\uff0c\u5219\u7740\u91cd\u4e8e\u638c\u63e1\u76f8\u5173\u7f16\u7a0b\u8bed\u8a00\uff08\u5982Python\uff09\u3001\u6846\u67b6\uff08\u5982TensorFlow\u6216PyTorch\uff09\u548c\u5de5\u5177\u7684\u4f7f\u7528\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u901a\u8fc7\u5b9e\u9645\u9879\u76ee\u6765\u5e94\u7528\u6240\u5b66\u77e5\u8bc6\u53ca\u6280\u80fd\u3001\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u662f\u4e0d\u53ef\u6216\u7f3a\u7684\u3002\u6700\u540e\uff0c\u9274\u4e8e\u6280\u672f\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u6301\u7eed\u7684\u5b66\u4e60\u548c\u66f4\u65b0\u77e5\u8bc6\u662f\u5fc5\u8981\u7684\u3002<\/p>\n<\/p>\n

\u5728\u7406\u8bba\u65b9\u9762\u7684\u6df1\u5165\u7406\u89e3<\/strong>\uff0c\u5c24\u5176\u91cd\u8981\u3002\u673a\u5668\u5b66\u4e60\u662f\u5efa\u7acb\u5728\u6570\u5b66\u3001\u7edf\u8ba1\u5b66\u7684\u57fa\u7840\u4e4b\u4e0a\u7684\uff0c\u56e0\u6b64\u6df1\u539a\u7684\u6570\u5b66\u57fa\u7840\u662f\u4e0d\u53ef\u6216\u7f3a\u7684\u3002\u7406\u89e3\u7b97\u6cd5\u80cc\u540e\u7684\u6570\u5b66\u539f\u7406\uff0c\u4e0d\u4ec5\u6709\u52a9\u4e8e\u66f4\u51c6\u786e\u5730\u5e94\u7528\u8fd9\u4e9b\u7b97\u6cd5\uff0c\u8fd8\u80fd\u5728\u5fc5\u8981\u65f6\u5bf9\u5176\u8fdb\u884c\u8c03\u6574\u6216\u521b\u65b0\u3002\u6db5\u76d6\u7684\u5185\u5bb9\u5e94\u5305\u62ec\u7ebf\u6027\u4ee3\u6570\u3001\u6982\u7387\u8bba\u3001\u7edf\u8ba1\u5b66\u3001\u5fae\u79ef\u5206\u7b49\u57fa\u672c\u6570\u5b66\u77e5\u8bc6\uff0c\u4ee5\u53ca\u7b97\u6cd5\u539f\u7406\u3001\u6a21\u578b\u8bc4\u4f30\u65b9\u6cd5\u7b49\u3002\u901a\u8fc7\u5bf9\u8fd9\u4e9b\u7406\u8bba\u77e5\u8bc6\u7684\u5b66\u4e60\uff0c\u53ef\u4ee5\u5efa\u7acb\u8d77\u5bf9\u673a\u5668\u5b66\u4e60\u7cfb\u7edf\u5de5\u4f5c\u539f\u7406\u548c\u80fd\u529b\u7684\u6df1\u523b\u7406\u89e3\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u7406\u8bba\u5b66\u4e60<\/h3>\n<\/p>\n

1. \u57fa\u672c\u6982\u5ff5\u4e0e\u7b97\u6cd5<\/h4>\n<\/p>\n

\u673a\u5668\u5b66\u4e60\u7684\u6838\u5fc3\u5728\u4e8e\u901a\u8fc7\u7b97\u6cd5\u8ba9\u8ba1\u7b97\u673a\u5177\u6709\u4ece\u6570\u636e\u4e2d\u5b66\u4e60\u7684\u80fd\u529b\u3002\u56e0\u800c\uff0c\u638c\u63e1\u57fa\u672c\u7684\u673a\u5668\u5b66\u4e60\u6982\u5ff5\uff08\u5982\u76d1\u7763\u5b66\u4e60\u3001\u975e\u76d1\u7763\u5b66\u4e60\u3001\u5f3a\u5316\u5b66\u4e60\u7b49\uff09\u548c\u7b97\u6cd5\uff08\u5982\u7ebf\u6027\u56de\u5f52\u3001\u903b\u8f91\u56de\u5f52\u3001\u51b3\u7b56\u6811\u3001\u795e\u7ecf\u7f51\u7edc\u7b49\uff09\u662f\u57fa\u7840\u3002\u7406\u89e3\u8fd9\u4e9b\u7b97\u6cd5\u7684\u5de5\u4f5c\u539f\u7406\u3001\u4f18\u7f3a\u70b9\u3001\u9002\u7528\u573a\u666f\uff0c\u662f\u51c6\u5907\u673a\u5668\u5b66\u4e60\u7684\u7b2c\u4e00\u6b65\u3002<\/p>\n<\/p>\n

2. \u6570\u5b66\u57fa\u7840<\/h4>\n<\/p>\n

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\u4e8c\u3001\u7f16\u7a0b\u6280\u80fd<\/h3>\n<\/p>\n

1. \u638c\u63e1\u7f16\u7a0b\u8bed\u8a00<\/h4>\n<\/p>\n

Python\u662f\u76ee\u524d\u6700\u53d7\u6b22\u8fce\u7684\u673a\u5668\u5b66\u4e60\u7f16\u7a0b\u8bed\u8a00\uff0c\u5176\u8bed\u6cd5\u7b80\u6d01\u3001\u5e93\u4e30\u5bcc\u3002\u719f\u7ec3\u638c\u63e1Python\u4ee5\u53ca\u76f8\u5173\u7684\u6570\u636e\u5904\u7406\uff08\u5982NumPy\u3001Pandas\uff09\u548c\u673a\u5668\u5b66\u4e60\u5e93\uff08\u5982scikit-learn\u3001TensorFlow\u3001PyTorch\uff09\u662f\u57fa\u7840\u3002\u6b64\u5916\uff0c\u4e86\u89e3\u5e76\u638c\u63e1\u5176\u4ed6\u7f16\u7a0b\u8bed\u8a00\u5982R\u3001Java\u4e5f\u6709\u52a9\u4e8e\u5728\u7279\u5b9a\u573a\u666f\u4e0b\u7684\u5e94\u7528\u3002<\/p>\n<\/p>\n

2. \u6846\u67b6\u4e0e\u5de5\u5177<\/h4>\n<\/p>\n

\u4e86\u89e3\u548c\u638c\u63e1\u4e3b\u6d41\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff08\u5982TensorFlow\u3001PyTorch\uff09\u662f\u8fdb\u884c\u6df1\u5165\u673a\u5668\u5b66\u4e60\u7814\u7a76\u4e0e\u5f00\u53d1\u7684\u5173\u952e\u3002\u8fd9\u4e9b\u6846\u67b6\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684API\u548c\u5de5\u5177\uff0c\u4f7f\u5f97\u6784\u5efa\u590d\u6742\u7684\u6a21\u578b\u53d8\u5f97\u66f4\u52a0\u5bb9\u6613\u3002\u6b64\u5916\uff0c\u719f\u6089\u673a\u5668\u5b66\u4e60\u9879\u76ee\u7684\u5f00\u53d1\u6d41\u7a0b\uff08\u6570\u636e\u6536\u96c6\u3001\u6e05\u6d17\u3001\u7279\u5f81\u5de5\u7a0b\u3001\u8bad\u7ec3\u6a21\u578b\u3001\u8bc4\u4f30\u4e0e\u90e8\u7f72\uff09\u548c\u4f7f\u7528\u7248\u672c\u63a7\u5236\u5de5\u5177\uff08\u5982Git\uff09\u8fdb\u884c\u4ee3\u7801\u7ba1\u7406\u4e5f\u975e\u5e38\u91cd\u8981\u3002<\/p>\n<\/p>\n

\u4e09\u3001\u5b9e\u8df5\u9879\u76ee<\/h3>\n<\/p>\n

1. \u5e94\u7528\u6240\u5b66\u6280\u80fd<\/h4>\n<\/p>\n

\u901a\u8fc7\u5b9e\u9645\u9879\u76ee\u5c06\u6240\u5b66\u7684\u7406\u8bba\u548c\u7f16\u7a0b\u6280\u80fd\u5e94\u7528\u8d77\u6765\u662f\u68c0\u9a8c\u5b66\u4e60\u6210\u679c\u7684\u6700\u4f73\u65b9\u5f0f\u3002\u53ef\u4ee5\u4ece\u7b80\u5355\u7684\u9879\u76ee\u5f00\u59cb\uff0c\u4f8b\u5982\u4f7f\u7528\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5\u9884\u6d4b\u623f\u4ef7\u6216\u8bc6\u522b\u624b\u5199\u6570\u5b57\uff0c\u9010\u6b65\u8fc7\u6e21\u5230\u66f4\u590d\u6742\u7684\u9879\u76ee\uff0c\u5982\u6784\u5efa\u63a8\u8350\u7cfb\u7edf\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6216\u8ba1\u7b97\u673a\u89c6\u89c9\u5e94\u7528\u3002<\/p>\n<\/p>\n

2. \u53c2\u4e0e\u5f00\u6e90\u9879\u76ee<\/h4>\n<\/p>\n

\u53c2\u4e0e\u5f00\u6e90\u673a\u5668\u5b66\u4e60\u9879\u76ee\u4e0d\u4ec5\u53ef\u4ee5\u63d0\u5347\u6280\u80fd\uff0c\u8fd8\u80fd\u4e0e\u5176\u4ed6\u5f00\u53d1\u8005\u548c\u7814\u7a76\u4eba\u5458\u4ea4\u6d41\u5b66\u4e60\uff0c\u83b7\u53d6\u6700\u65b0\u7684\u6280\u672f\u52a8\u6001\u548c\u8d8b\u52bf\u3002GitHub\u662f\u4e00\u4e2a\u5bfb\u627e\u548c\u53c2\u4e0e\u5f00\u6e90\u9879\u76ee\u7684\u597d\u5e73\u53f0\u3002\u901a\u8fc7\u4e3a\u5f00\u6e90\u9879\u76ee\u8d21\u732e\u4ee3\u7801\uff0c\u53ef\u4ee5\u79ef\u7d2f\u5b9e\u6218\u7ecf\u9a8c\uff0c\u63d0\u5347\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u7684\u80fd\u529b\u3002<\/p>\n<\/p>\n

\u56db\u3001\u6301\u7eed\u5b66\u4e60<\/h3>\n<\/p>\n

1. \u8ddf\u8e2a\u6700\u65b0\u7814\u7a76<\/h4>\n<\/p>\n

\u673a\u5668\u5b66\u4e60\u662f\u4e00\u4e2a\u5feb\u901f\u53d1\u5c55\u7684\u9886\u57df\uff0c\u65b0\u7b97\u6cd5\u3001\u6a21\u578b\u3001\u6280\u672f\u5c42\u51fa\u4e0d\u7a77\u3002\u5173\u6ce8\u9876\u7ea7\u7684\u673a\u5668\u5b66\u4e60\u4f1a\u8bae\uff08\u5982NeurIPS\u3001ICML\u3001CVPR\u7b49\uff09\u548c\u671f\u520a\uff0c\u4ee5\u53ca\u4e13\u4e1a\u793e\u533a\uff08\u5982arXiv\u3001Medium\u7b49\uff09\u4e0a\u7684\u6700\u65b0\u7814\u7a76\u6210\u679c\uff0c\u53ef\u4ee5\u5e2e\u52a9\u53ca\u65f6\u4e86\u89e3\u884c\u4e1a\u52a8\u6001\uff0c\u628a\u63e1\u6280\u672f\u8d8b\u52bf\u3002<\/p>\n<\/p>\n

2. \u5b66\u4e60\u8d44\u6e90<\/h4>\n<\/p>\n

\u5229\u7528\u5728\u7ebf\u8bfe\u7a0b\uff08\u5982Coursera\u3001edX\u3001Udacity\u7b49\uff09\u3001\u4e13\u4e1a\u4e66\u7c4d\u3001\u535a\u5ba2\u548c\u89c6\u9891\u6559\u7a0b\u7b49\u8d44\u6e90\u8fdb\u884c\u81ea\u5b66\u3002\u591a\u6e20\u9053\u5b66\u4e60\u4e0d\u4ec5\u80fd\u5e2e\u52a9\u5de9\u56fa\u548c\u62d3\u5c55\u77e5\u8bc6\uff0c\u8fd8\u80fd\u6fc0\u53d1\u65b0\u7684\u601d\u8003\u548c\u521b\u610f\u3002\u5b66\u4e60\u662f\u4e00\u4e2a\u6301\u7eed\u7684\u8fc7\u7a0b\uff0c\u53ea\u6709\u4e0d\u65ad\u66f4\u65b0\u81ea\u5df1\u7684\u77e5\u8bc6\u5e93\uff0c\u624d\u80fd\u5728\u673a\u5668\u5b66\u4e60\u8fd9\u4e2a\u7ade\u4e89\u6fc0\u70c8\u7684\u9886\u57df\u4e2d\u4fdd\u6301\u7ade\u4e89\u529b\u3002<\/p>\n<\/p>\n

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

1. \u673a\u5668\u5b66\u4e60\u7684\u7406\u8bba\u51c6\u5907\u6709\u54ea\u4e9b\uff1f<\/strong><\/p>\n

\u5728\u51c6\u5907\u673a\u5668\u5b66\u4e60\u7684\u7406\u8bba\u65b9\u9762\uff0c\u4f60\u53ef\u4ee5\u5173\u6ce8\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\uff1a<\/p>\n

    \n
  • \u7406\u89e3\u7edf\u8ba1\u5b66\u548c\u6982\u7387\u8bba\u7684\u57fa\u672c\u6982\u5ff5\u548c\u539f\u7406\uff0c\u56e0\u4e3a\u8fd9\u4e24\u4e2a\u9886\u57df\u5bf9\u4e8e\u673a\u5668\u5b66\u4e60\u81f3\u5173\u91cd\u8981\u3002<\/li>\n
  • \u5b66\u4e60\u7ebf\u6027\u4ee3\u6570\u548c\u77e9\u9635\u8fd0\u7b97\uff0c\u56e0\u4e3a\u77e9\u9635\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u5e38\u7528\u7684\u6570\u636e\u8868\u793a\u5f62\u5f0f\u3002<\/li>\n
  • \u638c\u63e1\u57fa\u7840\u7684\u4f18\u5316\u65b9\u6cd5\u548c\u7b97\u6cd5\uff0c\u5982\u68af\u5ea6\u4e0b\u964d\u6cd5\u7b49\uff0c\u56e0\u4e3a\u5728\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u9700\u8981\u4f7f\u7528\u5230\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/li>\n
  • \u7559\u610f\u673a\u5668\u5b66\u4e60\u4e2d\u5e38\u7528\u7684\u7b97\u6cd5\u548c\u6a21\u578b\uff0c\u5982\u7ebf\u6027\u56de\u5f52\u3001\u903b\u8f91\u56de\u5f52\u3001\u51b3\u7b56\u6811\u3001\u652f\u6301\u5411\u91cf\u673a\u3001\u795e\u7ecf\u7f51\u7edc\u7b49\uff0c\u5c3d\u91cf\u6df1\u5165\u7406\u89e3\u5b83\u4eec\u7684\u539f\u7406\u548c\u5e94\u7528\u573a\u666f\u3002<\/li>\n<\/ul>\n

    2. \u673a\u5668\u5b66\u4e60\u7684\u7f16\u7a0b\u51c6\u5907\u6709\u54ea\u4e9b\uff1f<\/strong><\/p>\n

    \u5728\u51c6\u5907\u673a\u5668\u5b66\u4e60\u7684\u7f16\u7a0b\u65b9\u9762\uff0c\u4f60\u53ef\u4ee5\u8003\u8651\u4ee5\u4e0b\u51e0\u70b9\uff1a<\/p>\n

      \n
    • \u638c\u63e1\u4e00\u95e8\u7f16\u7a0b\u8bed\u8a00\uff0c\u5982Python\u6216\u8005R\uff0c\u5b83\u4eec\u5e7f\u6cdb\u5e94\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u9886\u57df\u3002<\/li>\n
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      3. \u5982\u4f55\u5e73\u8861\u673a\u5668\u5b66\u4e60\u7684\u7406\u8bba\u548c\u7f16\u7a0b\u8bad\u7ec3\uff1f<\/strong><\/p>\n

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        \n
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