{"id":1056347,"date":"2024-12-31T14:58:59","date_gmt":"2024-12-31T06:58:59","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1056347.html"},"modified":"2024-12-31T14:59:01","modified_gmt":"2024-12-31T06:59:01","slug":"%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bdpython%e5%bc%80%e5%8f%91%e5%a6%82%e4%bd%95%e5%bf%ab%e9%80%9f%e5%85%a5%e9%97%a8","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1056347.html","title":{"rendered":"\u4eba\u5de5\u667a\u80fdpython\u5f00\u53d1\u5982\u4f55\u5feb\u901f\u5165\u95e8"},"content":{"rendered":"

\"\u4eba\u5de5\u667a\u80fdpython\u5f00\u53d1\u5982\u4f55\u5feb\u901f\u5165\u95e8\"<\/p>\n

\u4eba\u5de5\u667a\u80fdPython\u5f00\u53d1\u7684\u5feb\u901f\u5165\u95e8<\/strong>\uff0c\u9700\u8981\u638c\u63e1Python\u7f16\u7a0b\u57fa\u7840\u3001\u5b66\u4e60\u5e38\u7528\u7684AI<\/a>\u5e93\u4e0e\u5de5\u5177\u3001\u7406\u89e3\u673a\u5668\u5b66\u4e60<\/a>\u4e0e\u6df1\u5ea6\u5b66\u4e60\u57fa\u672c\u539f\u7406\u3001\u52a8\u624b\u5b9e\u8df5\u9879\u76ee\u3001\u53c2\u4e0e\u5728\u7ebf\u8bfe\u7a0b\u4e0e\u793e\u533a\u8ba8\u8bba<\/strong>\u3002\u5176\u4e2d\uff0c\u638c\u63e1Python\u7f16\u7a0b\u57fa\u7840<\/strong>\u662f\u5c24\u4e3a\u91cd\u8981\u7684\u4e00\u70b9\uff0c\u56e0\u4e3aPython\u662f\u4eba\u5de5\u667a\u80fd<\/a>\u5f00\u53d1\u7684\u4e3b\u8981\u7f16\u7a0b\u8bed\u8a00\uff0c\u638c\u63e1\u5b83\u53ef\u4ee5\u8ba9\u4f60\u66f4\u5bb9\u6613\u7406\u89e3\u548c\u4f7f\u7528\u5404\u79cdAI\u5de5\u5177\u548c\u5e93\u3002<\/p>\n<\/p>\n

\u638c\u63e1Python\u7f16\u7a0b\u57fa\u7840\u53ef\u4ee5\u4ece\u5b66\u4e60Python\u7684\u57fa\u672c\u8bed\u6cd5\u3001\u6570\u636e\u7ed3\u6784\u3001\u51fd\u6570\u3001\u6a21\u5757\u548c\u5e93\u5f00\u59cb\u3002\u901a\u8fc7\u7f16\u5199\u7b80\u5355\u7684\u7a0b\u5e8f\u6765\u7ec3\u4e60\u8fd9\u4e9b\u57fa\u7840\u77e5\u8bc6\uff0c\u6bd4\u5982\u5b9e\u73b0\u4e00\u4e2a\u8ba1\u7b97\u5668\u3001\u5904\u7406\u6587\u672c\u6587\u4ef6\u3001\u8fdb\u884c\u6570\u636e\u5206\u6790\u7b49\u3002\u63a5\u4e0b\u6765\uff0c\u53ef\u4ee5\u9010\u6b65\u5b66\u4e60\u4e00\u4e9b\u9ad8\u7ea7\u7279\u6027\uff0c\u5982\u9762\u5411\u5bf9\u8c61\u7f16\u7a0b\u3001\u5f02\u5e38\u5904\u7406\u3001\u591a\u7ebf\u7a0b\u7b49\u3002\u638c\u63e1\u8fd9\u4e9b\u57fa\u7840\u77e5\u8bc6\u540e\uff0c\u518d\u8fdb\u4e00\u6b65\u5b66\u4e60\u7528\u4e8e\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u7684\u5e93\u548c\u5de5\u5177\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u638c\u63e1Python\u7f16\u7a0b\u57fa\u7840<\/h3>\n<\/p>\n

Python\u662f\u4e00\u95e8\u7b80\u5355\u6613\u5b66\u3001\u529f\u80fd\u5f3a\u5927\u7684\u7f16\u7a0b\u8bed\u8a00\u3002\u5176\u7b80\u6d01\u7684\u8bed\u6cd5\u548c\u4e30\u5bcc\u7684\u5e93\u4f7f\u5f97\u5b83\u6210\u4e3a\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u7684\u9996\u9009\u8bed\u8a00\u3002<\/p>\n<\/p>\n

1\u3001\u5b66\u4e60Python\u57fa\u672c\u8bed\u6cd5<\/h4>\n<\/p>\n

Python\u7684\u57fa\u672c\u8bed\u6cd5\u5305\u62ec\u53d8\u91cf\u3001\u6570\u636e\u7c7b\u578b\u3001\u8fd0\u7b97\u7b26\u3001\u63a7\u5236\u7ed3\u6784\uff08\u5982if\u8bed\u53e5\u3001for\u5faa\u73af\u548cwhile\u5faa\u73af\uff09\u3001\u51fd\u6570\u3001\u6a21\u5757\u7b49\u3002\u53ef\u4ee5\u901a\u8fc7\u9605\u8bfbPython\u5b98\u65b9\u6587\u6863\u3001\u89c2\u770b\u5728\u7ebf\u6559\u7a0b\u6216\u53c2\u52a0\u7f16\u7a0b\u8bfe\u7a0b\u6765\u5b66\u4e60\u8fd9\u4e9b\u57fa\u7840\u77e5\u8bc6\u3002<\/p>\n<\/p>\n

2\u3001\u638c\u63e1\u6570\u636e\u7ed3\u6784<\/h4>\n<\/p>\n

\u6570\u636e\u7ed3\u6784\u662f\u7f16\u7a0b\u7684\u57fa\u7840\uff0c\u5305\u62ec\u5217\u8868\u3001\u5143\u7ec4\u3001\u5b57\u5178\u548c\u96c6\u5408\u7b49\u3002\u5728\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u4e2d\uff0c\u5e38\u5e38\u9700\u8981\u5904\u7406\u5927\u91cf\u7684\u6570\u636e\uff0c\u719f\u7ec3\u638c\u63e1\u8fd9\u4e9b\u6570\u636e\u7ed3\u6784\u53ef\u4ee5\u63d0\u9ad8\u7f16\u7a0b\u6548\u7387\u3002<\/p>\n<\/p>\n

3\u3001\u5b66\u4e60\u9762\u5411\u5bf9\u8c61\u7f16\u7a0b<\/h4>\n<\/p>\n

\u9762\u5411\u5bf9\u8c61\u7f16\u7a0b\uff08OOP\uff09\u662fPython\u7684\u91cd\u8981\u7279\u6027\u4e4b\u4e00\u3002\u5728\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u4e2d\uff0c\u5f88\u591a\u5e93\u548c\u5de5\u5177\u90fd\u662f\u57fa\u4e8eOOP\u8bbe\u8ba1\u7684\uff0c\u638c\u63e1OOP\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u548c\u4f7f\u7528\u8fd9\u4e9b\u5e93\u548c\u5de5\u5177\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u5b66\u4e60\u5e38\u7528\u7684AI\u5e93\u4e0e\u5de5\u5177<\/h3>\n<\/p>\n

\u638c\u63e1Python\u7f16\u7a0b\u57fa\u7840\u540e\uff0c\u5c31\u53ef\u4ee5\u5f00\u59cb\u5b66\u4e60\u4e00\u4e9b\u5e38\u7528\u7684AI\u5e93\u548c\u5de5\u5177\u4e86\u3002\u8fd9\u4e9b\u5e93\u548c\u5de5\u5177\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5feb\u901f\u5f00\u53d1\u548c\u90e8\u7f72AI\u6a21\u578b\u3002<\/p>\n<\/p>\n

1\u3001NumPy\u548cPandas<\/h4>\n<\/p>\n

NumPy\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86\u591a\u7ef4\u6570\u7ec4\u5bf9\u8c61\u548c\u5404\u79cd\u6570\u5b66\u51fd\u6570\u3002Pandas\u662f\u4e00\u4e2a\u7528\u4e8e\u6570\u636e\u5206\u6790\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86DataFrame\u5bf9\u8c61\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5904\u7406\u548c\u5206\u6790\u6570\u636e\u3002\u5728\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u4e2d\uff0c\u5e38\u5e38\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\u548c\u5206\u6790\uff0cNumPy\u548cPandas\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n

2\u3001Matplotlib\u548cSeaborn<\/h4>\n<\/p>\n

Matplotlib\u662f\u4e00\u4e2a\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u7684\u5e93\uff0c\u53ef\u4ee5\u7ed8\u5236\u5404\u79cd\u56fe\u8868\uff0c\u5982\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u6563\u70b9\u56fe\u7b49\u3002Seaborn\u662f\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u53ef\u89c6\u5316\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u52a0\u7f8e\u89c2\u548c\u6613\u7528\u7684\u63a5\u53e3\u3002\u5728\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u4e2d\uff0c\u6570\u636e\u53ef\u89c6\u5316\u662f\u975e\u5e38\u91cd\u8981\u7684\u4e00\u73af\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u7406\u89e3\u6570\u636e\u548c\u6a21\u578b\u3002<\/p>\n<\/p>\n

3\u3001Scikit-Learn<\/h4>\n<\/p>\n

Scikit-Learn\u662f\u4e00\u4e2a\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86\u5404\u79cd\u5e38\u7528\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u548c\u5de5\u5177\uff0c\u5982\u5206\u7c7b\u3001\u56de\u5f52\u3001\u805a\u7c7b\u3001\u964d\u7ef4\u7b49\u3002\u5b83\u7684\u63a5\u53e3\u7b80\u6d01\u6613\u7528\uff0c\u9002\u5408\u521d\u5b66\u8005\u5feb\u901f\u4e0a\u624b\u3002<\/p>\n<\/p>\n

4\u3001TensorFlow\u548cKeras<\/h4>\n<\/p>\n

TensorFlow\u662f\u4e00\u4e2a\u7528\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u5f00\u6e90\u6846\u67b6\uff0c\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u8ba1\u7b97\u56fe\u548c\u81ea\u52a8\u6c42\u5bfc\u673a\u5236\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5b9a\u4e49\u548c\u8bad\u7ec3\u5404\u79cd\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002Keras\u662f\u57fa\u4e8eTensorFlow\u7684\u9ad8\u7ea7\u63a5\u53e3\uff0c\u63d0\u4f9b\u4e86\u66f4\u52a0\u7b80\u6d01\u548c\u6613\u7528\u7684API\uff0c\u53ef\u4ee5\u5feb\u901f\u6784\u5efa\u548c\u8bad\u7ec3\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u3002<\/p>\n<\/p>\n

\u4e09\u3001\u7406\u89e3\u673a\u5668\u5b66\u4e60\u4e0e\u6df1\u5ea6\u5b66\u4e60\u57fa\u672c\u539f\u7406<\/h3>\n<\/p>\n

\u5728\u5b66\u4e60\u548c\u4f7f\u7528AI\u5e93\u548c\u5de5\u5177\u7684\u8fc7\u7a0b\u4e2d\uff0c\u7406\u89e3\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u57fa\u672c\u539f\u7406\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u53ea\u6709\u7406\u89e3\u4e86\u8fd9\u4e9b\u539f\u7406\uff0c\u624d\u80fd\u66f4\u597d\u5730\u8bbe\u8ba1\u548c\u4f18\u5316AI\u6a21\u578b\u3002<\/p>\n<\/p>\n

1\u3001\u673a\u5668\u5b66\u4e60\u7684\u57fa\u672c\u6982\u5ff5<\/h4>\n<\/p>\n

\u673a\u5668\u5b66\u4e60\u662f\u4eba\u5de5\u667a\u80fd\u7684\u4e00\u4e2a\u91cd\u8981\u5206\u652f\uff0c\u4e3b\u8981\u7814\u7a76\u5982\u4f55\u901a\u8fc7\u6570\u636e\u6765\u8bad\u7ec3\u6a21\u578b\uff0c\u4f7f\u5176\u80fd\u591f\u81ea\u52a8\u5b66\u4e60\u548c\u9884\u6d4b\u3002\u673a\u5668\u5b66\u4e60\u7684\u57fa\u672c\u6982\u5ff5\u5305\u62ec\u76d1\u7763\u5b66\u4e60\u3001\u65e0\u76d1\u7763\u5b66\u4e60\u3001\u534a\u76d1\u7763\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u7b49\u3002<\/p>\n<\/p>\n

2\u3001\u6df1\u5ea6\u5b66\u4e60\u7684\u57fa\u672c\u6982\u5ff5<\/h4>\n<\/p>\n

\u6df1\u5ea6\u5b66\u4e60\u662f\u673a\u5668\u5b66\u4e60\u7684\u4e00\u4e2a\u91cd\u8981\u5206\u652f\uff0c\u4e3b\u8981\u7814\u7a76\u5982\u4f55\u901a\u8fc7\u591a\u5c42\u795e\u7ecf\u7f51\u7edc\u6765\u5b66\u4e60\u548c\u8868\u793a\u6570\u636e\u3002\u6df1\u5ea6\u5b66\u4e60\u7684\u57fa\u672c\u6982\u5ff5\u5305\u62ec\u795e\u7ecf\u5143\u3001\u6fc0\u6d3b\u51fd\u6570\u3001\u524d\u5411\u4f20\u64ad\u3001\u53cd\u5411\u4f20\u64ad\u3001\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u3001\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u7b49\u3002<\/p>\n<\/p>\n

\u56db\u3001\u52a8\u624b\u5b9e\u8df5\u9879\u76ee<\/h3>\n<\/p>\n

\u5b66\u4e60\u7406\u8bba\u77e5\u8bc6\u548c\u4f7f\u7528\u5de5\u5177\u5e93\u53ea\u662f\u7b2c\u4e00\u6b65\uff0c\u52a8\u624b\u5b9e\u8df5\u9879\u76ee\u662f\u5feb\u901f\u5165\u95e8\u7684\u5173\u952e\u3002\u901a\u8fc7\u5b9e\u8df5\u9879\u76ee\u53ef\u4ee5\u5de9\u56fa\u6240\u5b66\u77e5\u8bc6\uff0c\u79ef\u7d2f\u5f00\u53d1\u7ecf\u9a8c\uff0c\u5e76\u4e14\u66f4\u597d\u5730\u7406\u89e3AI\u6a21\u578b\u7684\u5b9e\u9645\u5e94\u7528\u3002<\/p>\n<\/p>\n

1\u3001\u9009\u62e9\u5408\u9002\u7684\u9879\u76ee<\/h4>\n<\/p>\n

\u521d\u5b66\u8005\u53ef\u4ee5\u9009\u62e9\u4e00\u4e9b\u96be\u5ea6\u9002\u4e2d\u7684\u9879\u76ee\u6765\u7ec3\u624b\uff0c\u6bd4\u5982\u56fe\u50cf\u5206\u7c7b\u3001\u6587\u672c\u5206\u7c7b\u3001\u60c5\u611f\u5206\u6790\u3001\u63a8\u8350\u7cfb\u7edf\u7b49\u3002\u8fd9\u4e9b\u9879\u76ee\u90fd\u6709\u4e30\u5bcc\u7684\u516c\u5f00\u6570\u636e\u96c6\u548c\u6559\u7a0b\uff0c\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5feb\u901f\u4e0a\u624b\u3002<\/p>\n<\/p>\n

2\u3001\u72ec\u7acb\u5b8c\u6210\u9879\u76ee<\/h4>\n<\/p>\n

\u72ec\u7acb\u5b8c\u6210\u4e00\u4e2a\u9879\u76ee\u53ef\u4ee5\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3AI\u6a21\u578b\u7684\u5f00\u53d1\u6d41\u7a0b\uff0c\u5305\u62ec\u6570\u636e\u9884\u5904\u7406\u3001\u6a21\u578b\u8bbe\u8ba1\u3001\u8bad\u7ec3\u548c\u8bc4\u4f30\u7b49\u3002\u5728\u5b8c\u6210\u9879\u76ee\u7684\u8fc7\u7a0b\u4e2d\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u5404\u79cd\u95ee\u9898\u548c\u6311\u6218\uff0c\u901a\u8fc7\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u53ef\u4ee5\u63d0\u9ad8\u4f60\u7684\u7f16\u7a0b\u548c\u95ee\u9898\u89e3\u51b3\u80fd\u529b\u3002<\/p>\n<\/p>\n

\u4e94\u3001\u53c2\u4e0e\u5728\u7ebf\u8bfe\u7a0b\u4e0e\u793e\u533a\u8ba8\u8bba<\/h3>\n<\/p>\n

\u5b66\u4e60\u548c\u5b9e\u8df5\u7684\u8fc7\u7a0b\u4e2d\uff0c\u53c2\u4e0e\u5728\u7ebf\u8bfe\u7a0b\u548c\u793e\u533a\u8ba8\u8bba\u53ef\u4ee5\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u638c\u63e1\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u7684\u77e5\u8bc6\u548c\u6280\u80fd\u3002<\/p>\n<\/p>\n

1\u3001\u5728\u7ebf\u8bfe\u7a0b<\/h4>\n<\/p>\n

\u76ee\u524d\u6709\u5f88\u591a\u4f18\u8d28\u7684\u5728\u7ebf\u8bfe\u7a0b\u53ef\u4ee5\u5e2e\u52a9\u4f60\u7cfb\u7edf\u5730\u5b66\u4e60\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u77e5\u8bc6\uff0c\u6bd4\u5982Coursera\u3001edX\u3001Udacity\u7b49\u5e73\u53f0\u4e0a\u90fd\u6709\u5f88\u591a\u4f18\u79c0\u7684AI\u8bfe\u7a0b\u3002\u8fd9\u4e9b\u8bfe\u7a0b\u901a\u5e38\u7531\u77e5\u540d\u5927\u5b66\u548c\u4f01\u4e1a\u5f00\u53d1\uff0c\u5185\u5bb9\u4e30\u5bcc\uff0c\u7ed3\u6784\u5408\u7406\uff0c\u9002\u5408\u521d\u5b66\u8005\u7cfb\u7edf\u5b66\u4e60\u3002<\/p>\n<\/p>\n

2\u3001\u793e\u533a\u8ba8\u8bba<\/h4>\n<\/p>\n

\u53c2\u4e0e\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u793e\u533a\u8ba8\u8bba\u53ef\u4ee5\u5e2e\u52a9\u4f60\u89e3\u51b3\u5b66\u4e60\u548c\u5b9e\u8df5\u8fc7\u7a0b\u4e2d\u9047\u5230\u7684\u95ee\u9898\uff0c\u5e76\u4e14\u4e86\u89e3\u6700\u65b0\u7684\u6280\u672f\u52a8\u6001\u548c\u53d1\u5c55\u8d8b\u52bf\u3002\u5e38\u89c1\u7684AI\u5f00\u53d1\u793e\u533a\u6709Stack Overflow\u3001GitHub\u3001Kaggle\u7b49\u3002\u5728\u8fd9\u4e9b\u793e\u533a\u4e2d\uff0c\u53ef\u4ee5\u5411\u5176\u4ed6\u5f00\u53d1\u8005\u8bf7\u6559\u95ee\u9898\uff0c\u5206\u4eab\u81ea\u5df1\u7684\u7ecf\u9a8c\u548c\u6210\u679c\uff0c\u53c2\u4e0e\u5f00\u6e90\u9879\u76ee\u7b49\u3002<\/p>\n<\/p>\n

\u516d\u3001\u6301\u7eed\u5b66\u4e60\u4e0e\u66f4\u65b0<\/h3>\n<\/p>\n

\u4eba\u5de5\u667a\u80fd\u6280\u672f\u53d1\u5c55\u8fc5\u901f\uff0c\u6301\u7eed\u5b66\u4e60\u548c\u66f4\u65b0\u77e5\u8bc6\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u901a\u8fc7\u9605\u8bfb\u6700\u65b0\u7684\u7814\u7a76\u8bba\u6587\u3001\u53c2\u52a0\u5b66\u672f\u4f1a\u8bae\u548c\u6280\u672f\u8bba\u575b\u3001\u8ddf\u8e2a\u884c\u4e1a\u52a8\u6001\u7b49\uff0c\u53ef\u4ee5\u4fdd\u6301\u5bf9\u6280\u672f\u7684\u654f\u611f\u5ea6\u548c\u524d\u77bb\u6027\u3002<\/p>\n<\/p>\n

1\u3001\u9605\u8bfb\u7814\u7a76\u8bba\u6587<\/h4>\n<\/p>\n

\u9605\u8bfb\u6700\u65b0\u7684\u7814\u7a76\u8bba\u6587\u53ef\u4ee5\u5e2e\u52a9\u4f60\u4e86\u89e3\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u524d\u6cbf\u6280\u672f\u548c\u53d1\u5c55\u8d8b\u52bf\u3002\u5e38\u89c1\u7684AI\u7814\u7a76\u8bba\u6587\u6570\u636e\u5e93\u6709arXiv\u3001Google Scholar\u7b49\u3002\u901a\u8fc7\u9605\u8bfb\u8bba\u6587\uff0c\u53ef\u4ee5\u5b66\u4e60\u6700\u65b0\u7684\u7b97\u6cd5\u548c\u65b9\u6cd5\uff0c\u5e76\u4e14\u4e86\u89e3\u5b83\u4eec\u7684\u5e94\u7528\u548c\u6548\u679c\u3002<\/p>\n<\/p>\n

2\u3001\u53c2\u52a0\u5b66\u672f\u4f1a\u8bae\u548c\u6280\u672f\u8bba\u575b<\/h4>\n<\/p>\n

\u53c2\u52a0\u5b66\u672f\u4f1a\u8bae\u548c\u6280\u672f\u8bba\u575b\u53ef\u4ee5\u5e2e\u52a9\u4f60\u4e0e\u4e1a\u5185\u4e13\u5bb6\u548c\u540c\u884c\u4ea4\u6d41\uff0c\u4e86\u89e3\u6700\u65b0\u7684\u7814\u7a76\u6210\u679c\u548c\u6280\u672f\u52a8\u6001\u3002\u5e38\u89c1\u7684AI\u5b66\u672f\u4f1a\u8bae\u6709NeurIPS\u3001ICML\u3001CVPR\u7b49\u3002\u901a\u8fc7\u53c2\u52a0\u8fd9\u4e9b\u4f1a\u8bae\uff0c\u53ef\u4ee5\u62d3\u5bbd\u89c6\u91ce\uff0c\u83b7\u53d6\u7075\u611f\uff0c\u5e76\u4e14\u5efa\u7acb\u4eba\u8109\u3002<\/p>\n<\/p>\n

3\u3001\u8ddf\u8e2a\u884c\u4e1a\u52a8\u6001<\/h4>\n<\/p>\n

\u901a\u8fc7\u8ddf\u8e2a\u884c\u4e1a\u52a8\u6001\u53ef\u4ee5\u4e86\u89e3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u5728\u5404\u4e2a\u9886\u57df\u7684\u5e94\u7528\u548c\u53d1\u5c55\u8d8b\u52bf\u3002\u5e38\u89c1\u7684AI\u884c\u4e1a\u52a8\u6001\u83b7\u53d6\u6e20\u9053\u6709\u79d1\u6280\u65b0\u95fb\u7f51\u7ad9\u3001\u535a\u5ba2\u3001\u64ad\u5ba2\u7b49\u3002\u901a\u8fc7\u4e86\u89e3\u884c\u4e1a\u52a8\u6001\uff0c\u53ef\u4ee5\u628a\u63e1\u6280\u672f\u53d1\u5c55\u7684\u8109\u640f\uff0c\u5e76\u4e14\u627e\u5230\u81ea\u5df1\u7684\u53d1\u5c55\u65b9\u5411\u3002<\/p>\n<\/p>\n

\u4e03\u3001\u603b\u7ed3\u4e0e\u5c55\u671b<\/h3>\n<\/p>\n

\u4eba\u5de5\u667a\u80fdPython\u5f00\u53d1\u7684\u5feb\u901f\u5165\u95e8\u9700\u8981\u638c\u63e1Python\u7f16\u7a0b\u57fa\u7840\u3001\u5b66\u4e60\u5e38\u7528\u7684AI\u5e93\u4e0e\u5de5\u5177\u3001\u7406\u89e3\u673a\u5668\u5b66\u4e60\u4e0e\u6df1\u5ea6\u5b66\u4e60\u57fa\u672c\u539f\u7406\u3001\u52a8\u624b\u5b9e\u8df5\u9879\u76ee\u3001\u53c2\u4e0e\u5728\u7ebf\u8bfe\u7a0b\u4e0e\u793e\u533a\u8ba8\u8bba\uff0c\u5e76\u4e14\u6301\u7eed\u5b66\u4e60\u548c\u66f4\u65b0\u77e5\u8bc6\u3002\u901a\u8fc7\u8fd9\u4e9b\u6b65\u9aa4\uff0c\u53ef\u4ee5\u7cfb\u7edf\u5730\u5b66\u4e60\u548c\u638c\u63e1\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u7684\u77e5\u8bc6\u548c\u6280\u80fd\uff0c\u5feb\u901f\u5165\u95e8\u5e76\u4e14\u4e0d\u65ad\u63d0\u5347\u81ea\u5df1\u3002<\/p>\n<\/p>\n

\u5728\u672a\u6765\uff0c\u4eba\u5de5\u667a\u80fd\u6280\u672f\u5c06\u4f1a\u8d8a\u6765\u8d8a\u5e7f\u6cdb\u5730\u5e94\u7528\u5230\u5404\u4e2a\u9886\u57df\uff0c\u5e26\u6765\u66f4\u591a\u7684\u673a\u4f1a\u548c\u6311\u6218\u3002\u5e0c\u671b\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u80fd\u591f\u5e2e\u52a9\u4f60\u5feb\u901f\u5165\u95e8\u4eba\u5de5\u667a\u80fdPython\u5f00\u53d1\uff0c\u5e76\u4e14\u5728\u8fd9\u4e2a\u5145\u6ee1\u524d\u666f\u548c\u6f5c\u529b\u7684\u9886\u57df\u4e2d\u4e0d\u65ad\u63a2\u7d22\u548c\u524d\u884c\u3002<\/p>\n<\/p>\n

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

\u5982\u4f55\u9009\u62e9\u9002\u5408\u7684\u5b66\u4e60\u8d44\u6e90\u6765\u5165\u95e8\u4eba\u5de5\u667a\u80fd\u4e0ePython\u5f00\u53d1\uff1f<\/strong>
\u5bf9\u4e8e\u521d\u5b66\u8005\u6765\u8bf4\uff0c\u9009\u62e9\u5408\u9002\u7684\u5b66\u4e60\u8d44\u6e90\u81f3\u5173\u91cd\u8981\u3002\u53ef\u4ee5\u8003\u8651\u5728\u7ebf\u5b66\u4e60\u5e73\u53f0\u5982Coursera\u3001edX\u548cUdacity\uff0c\u8fd9\u4e9b\u5e73\u53f0\u63d0\u4f9b\u7ed3\u6784\u5316\u7684\u8bfe\u7a0b\uff0c\u6db5\u76d6\u4ecePython\u57fa\u7840\u5230\u4eba\u5de5\u667a\u80fd\u7b97\u6cd5\u7684\u5185\u5bb9\u3002\u6b64\u5916\uff0cYouTube\u4e0a\u4e5f\u6709\u8bb8\u591a\u514d\u8d39\u7684\u6559\u7a0b\uff0c\u9002\u5408\u4e0d\u540c\u5b66\u4e60\u98ce\u683c\u7684\u7528\u6237\u3002\u4e66\u7c4d\u65b9\u9762\uff0c\u300aPython\u673a\u5668\u5b66\u4e60\u300b\u548c\u300a\u6df1\u5ea6\u5b66\u4e60\u5165\u95e8\uff1a\u57fa\u4e8ePython\u7684\u7406\u8bba\u4e0e\u5b9e\u73b0\u300b\u90fd\u662f\u4e0d\u9519\u7684\u9009\u62e9\u3002<\/p>\n

\u5165\u95e8\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u9700\u8981\u638c\u63e1\u54ea\u4e9bPython\u5e93\uff1f<\/strong>
\u5728\u5b66\u4e60\u4eba\u5de5\u667a\u80fd\u65f6\uff0c\u719f\u6089\u4e00\u4e9b\u5e38\u7528\u7684Python\u5e93\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002NumPy\u548cPandas\u7528\u4e8e\u6570\u636e\u5904\u7406\u4e0e\u5206\u6790\uff0cMatplotlib\u548cSeaborn\u9002\u5408\u6570\u636e\u53ef\u89c6\u5316\uff0c\u800cScikit-learn\u5219\u63d0\u4f9b\u4e86\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7684\u5b9e\u73b0\u3002\u5bf9\u4e8e\u6df1\u5ea6\u5b66\u4e60\uff0cTensorFlow\u548cPyTorch\u662f\u5f53\u524d\u6700\u6d41\u884c\u7684\u6846\u67b6\uff0c\u80fd\u591f\u5e2e\u52a9\u5f00\u53d1\u8005\u6784\u5efa\u548c\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc\u3002<\/p>\n

\u5728\u5b9e\u8df5\u4e2d\u5982\u4f55\u63d0\u9ad8\u4eba\u5de5\u667a\u80fd\u5f00\u53d1\u7684\u6280\u80fd\uff1f<\/strong>
\u5b9e\u8df5\u662f\u63d0\u9ad8\u6280\u80fd\u7684\u5173\u952e\u3002\u53ef\u4ee5\u901a\u8fc7\u53c2\u4e0e\u5f00\u6e90\u9879\u76ee\u3001\u7f16\u5199\u81ea\u5df1\u7684\u5c0f\u9879\u76ee\u6216\u53c2\u52a0\u5728\u7ebf\u7f16\u7a0b\u6bd4\u8d5b\u6765\u63d0\u5347\u81ea\u5df1\u7684\u80fd\u529b\u3002\u6b64\u5916\uff0c\u5c1d\u8bd5\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\uff0c\u6bd4\u5982\u6570\u636e\u5206\u7c7b\u3001\u56fe\u50cf\u8bc6\u522b\u7b49\uff0c\u80fd\u591f\u5e2e\u52a9\u52a0\u6df1\u5bf9\u7b97\u6cd5\u7684\u7406\u89e3\u3002\u540c\u65f6\uff0c\u52a0\u5165\u76f8\u5173\u793e\u533a\u6216\u8bba\u575b\uff0c\u4e0e\u5176\u4ed6\u5f00\u53d1\u8005\u4ea4\u6d41\u7ecf\u9a8c\u4e5f\u662f\u63d0\u5347\u81ea\u6211\u7684\u4e00\u4e2a\u6709\u6548\u9014\u5f84\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4eba\u5de5\u667a\u80fdPython\u5f00\u53d1\u7684\u5feb\u901f\u5165\u95e8\uff0c\u9700\u8981\u638c\u63e1Python\u7f16\u7a0b\u57fa\u7840\u3001\u5b66\u4e60\u5e38\u7528\u7684AI\u5e93\u4e0e\u5de5\u5177\u3001\u7406\u89e3\u673a\u5668\u5b66\u4e60\u4e0e\u6df1\u5ea6\u5b66 […]","protected":false},"author":3,"featured_media":1056356,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1056347"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1056347"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1056347\/revisions"}],"predecessor-version":[{"id":1056358,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1056347\/revisions\/1056358"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1056356"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1056347"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1056347"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1056347"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}