{"id":9865,"date":"2023-01-17T22:07:59","date_gmt":"2023-01-17T21:07:59","guid":{"rendered":"https:\/\/geehootek.com\/?p=9865"},"modified":"2023-01-28T11:41:22","modified_gmt":"2023-01-28T10:41:22","slug":"ai-and-machine-learning-for-coders-%e4%b8%ad%e6%96%87%e7%bf%bb%e8%af%91%ef%bc%881%ef%bc%89","status":"publish","type":"post","link":"https:\/\/geehootek.com\/zh-hans\/ai-and-machine-learning-for-coders-%e4%b8%ad%e6%96%87%e7%bf%bb%e8%af%91%ef%bc%881%ef%bc%89\/","title":{"rendered":"AI and machine learning for coders \u4e2d\u6587\u7ffb\u8bd1\uff081\uff09"},"content":{"rendered":"\n
\n

\u4e2d\u6587\u4e66\u540d\uff1a\u7ed9\u7a0b\u5e8f\u5458\u7684\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60<\/p>\n\n\n\n

\u8bd1\u8005\uff1a\u6731\u745e <\/em><\/p>\n\n\n\n

\u8bd1\u8005\u90ae\u7bb1\uff1akevindree@gmail.com<\/em><\/p>\n\n\n\n

\u8bd1\u8005\u58f0\u660e\uff1a\u8bd1\u8005\u5728IT\u9886\u57df\u5de5\u4f5c\u591a\u5e74\uff0c\u57fa\u4e8e\u5bf9\u4e8e\u4eba\u5de5\u667a\u80fd\u3001\u673a\u5668\u5b66\u4e60\u7684\u5174\u8da3\uff0c\u81ea\u5b66\u4e86\u5f88\u591a\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b\uff0cAi and machine learning for coders\u662f\u5176\u4e2d\u7684\u4e00\u672c\u4e66\u3002\u4e3a\u4e86\u8ba9\u66f4\u591a\u534e\u4eba\u4e86\u89e3\u548c\u5b66\u4e60\u4eba\u5de5\u667a\u80fd\u7684\u76f8\u5173\u6280\u672f\uff0c\u5728\u5b66\u4e60\u7684\u8fc7\u7a0b\u4e2d\uff0c\u7ecf\u8fc7\u957f\u65f6\u95f4\u7684\u8f9b\u52e4\u52b3\u52a8\u548c\u4ed8\u51fa\uff0c\u5c06\u8fd9\u4e00\u4e2d\u6587\u7248\u5448\u73b0\u5728\u5927\u5bb6\u9762\u524d\u3002\u7ffb\u8bd1\u4e2d\u96be\u514d\u6709\u8bb8\u591a\u4e0d\u51c6\u786e\u7684\u5730\u65b9\uff0c\u8fd8\u671b\u5e7f\u5927\u8bfb\u8005\u539f\u8c05\u3002<\/em><\/p>\n\n\n\n

Geehootek.com<\/a>\u662f\u8bd1\u8005\u9996\u53d1\u7f51\u7ad9\uff0c\u8bf7\u5c0a\u91cd\u8bd1\u8005\u52b3\u52a8\uff0c\u8f6c\u8f7d\u65f6\u8bf7\u6ce8\u660e\u51fa\u5904\uff01\uff01\uff01<\/em><\/mark><\/p>\n<\/div><\/div>\n\n\n\n

\u7b2c\u4e00\u90e8\u5206\uff1a\u5efa\u7acb\u6a21\u578b<\/h2>\n\n\n\n

\u7b2c\u4e00\u7ae0\uff1aTensorflow\u7684\u4ecb\u7ecd<\/h3>\n\n\n\n

\u5728\u521b\u5efa\u4eba\u5de5\u667a\u80fd (AI) \u65f6\uff0c\u673a\u5668\u5b66\u4e60 (ML) \u548c\u6df1\u5ea6\u5b66\u4e60\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u8d77\u70b9\u3002 \u7136\u800c\uff0c\u521a\u5f00\u59cb\u4f7f\u7528\u65f6\uff0c\u5f88\u5bb9\u6613\u88ab\u5404\u79cd\u9009\u9879\u548c\u6240\u6709\u65b0\u672f\u8bed\u5f04\u5f97\u4e0d\u77e5\u6240\u63aa\u3002 \u672c\u4e66\u65e8\u5728\u4e3a\u7a0b\u5e8f\u5458\u63ed\u5f00\u795e\u79d8\u9762\u7eb1\uff0c\u5e26\u60a8\u901a\u8fc7\u7f16\u5199\u4ee3\u7801\u6765\u5b9e\u73b0\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u6982\u5ff5\uff1b \u4ee5\u53ca\u6784\u5efa\u884c\u4e3a\u66f4\u50cf\u4eba\u7c7b\u7684\u6a21\u578b\uff0c\u5305\u62ec\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406 (NLP) \u7b49\u573a\u666f\u3002 \u56e0\u6b64\uff0c\u662f\u4e00\u79cd\u4eba\u5de5\u7684\u3001\u667a\u6167\u7684\u5f62\u5f0f\u3002<\/p>\n\n\n\n

\u4f46\u662f\u5f53\u6211\u4eec\u63d0\u5230\u673a\u5668\u5b66\u4e60\u65f6\uff0c\u8fd9\u4e2a\u7279\u6b8a\u7684\u4e8b\u7269\u5230\u5e95\u6307\u7684\u662f\u4ec0\u4e48\uff1f \u8ba9\u6211\u4eec\u5feb\u901f\u770b\u4e00\u4e0b\uff0c\u5e76\u5728\u6211\u4eec\u7ee7\u7eed\u4e4b\u524d\u4ece\u7a0b\u5e8f\u5458\u7684\u89d2\u5ea6\u6765\u601d\u8003\u3002 \u4e4b\u540e\uff0c\u6587\u7ae0\u5c06\u5411\u60a8\u5c55\u793a\u5982\u4f55\u5b89\u88c5\u5404\u79cd\u5de5\u5177\uff0c\u4ece TensorFlow \u672c\u8eab\u5230\u60a8\u53ef\u4ee5\u7f16\u7801\u548c\u8c03\u8bd5 TensorFlow \u6a21\u578b\u7684\u73af\u5883\u3002<\/p>\n\n\n\n

\u4ec0\u4e48\u662f\u53ca\u673a\u5668\u5b66\u4e60<\/h4>\n\n\n\n

\u5728\u6211\u4eec\u6df1\u5165\u4e86\u89e3 ML \u7684\u6765\u9f99\u53bb\u8109\u4e4b\u524d\uff0c\u8ba9\u6211\u4eec\u5148\u8003\u8651\u4e00\u4e0b\u5b83\u662f\u5982\u4f55\u4ece\u4f20\u7edf\u7f16\u7a0b\u6f14\u53d8\u800c\u6765\u7684\u3002 \u6211\u4eec\u5c06\u4ece\u7814\u7a76\u4ec0\u4e48\u662f\u4f20\u7edf\u7f16\u7a0b\u5f00\u59cb\uff0c\u8003\u8651\u5b83\u6709\u54ea\u4e9b\u53d7\u9650\u7684\u60c5\u51b5\u3002 \u4e4b\u540e\u6211\u4eec\u5c06\u770b\u5230 ML \u5982\u4f55\u8fdb\u5316\u6765\u5e94\u5bf9\u8fd9\u4e9b\u60c5\u51b5\uff0c\u5e76\u56e0\u6b64\u5f00\u8f9f\u4e86\u5b9e\u65bd\u65b0\u573a\u666f\u7684\u65b0\u673a\u4f1a\uff0c\u89e3\u9501\u4e86\u8bb8\u591a\u4eba\u5de5\u667a\u80fd\u7684\u6982\u5ff5\u3002<\/p>\n\n\n\n

\u4f20\u7edf\u7f16\u7a0b\u8ba9\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u67d0\u79cd\u7f16\u7a0b\u8bed\u8a00\u6765\u7f16\u5199\u67d0\u4e9b\u89c4\u5219\uff0c\u8fd9\u4e9b\u89c4\u5219\u4f5c\u7528\u4e8e\u6570\u636e\uff0c\u5e76\u6700\u7ec8\u7ed9\u51fa\u7b54\u6848\u3002 \u8fd9\u51e0\u4e4e\u9002\u7528\u4e8e\u4efb\u4f55\u53ef\u4ee5\u7528\u4ee3\u7801\u7f16\u7a0b\u7684\u5730\u65b9\u3002<\/p>\n\n\n\n

\u4f8b\u5982\uff0c\u6211\u4eec\u8003\u8651\u4e00\u6b3e\u975e\u5e38\u6d41\u884c\u7684 Breakout \u8fd9\u6837\u7684\u6e38\u620f\u3002 \u4ee3\u7801\u51b3\u5b9a\u4e86\u7403\u7684\u79fb\u52a8\u3001\u5f97\u5206\u4ee5\u53ca\u5404\u79cd\u6e38\u620f\u8f93\u8d62\u7684\u6761\u4ef6\u3002\u60f3\u4e00\u60f3\u7403\u4ece\u7816\u5757\u4e0a\u5f39\u56de\u7684\u573a\u666f\uff0c\u5982\u56fe 1-1 \u6240\u793a\u3002<\/p>\n\n\n\n

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AI and machine learning for coders – Figure1-1 Code in breakout game<\/figcaption><\/figure>\n\n\n\n

\u8fd9\u91cc\uff0c\u7403\u7684\u8fd0\u52a8\u53ef\u4ee5\u7531\u5b83\u7684 dx \u548c dy \u5c5e\u6027\u51b3\u5b9a\u3002 \u5f53\u7403\u649e\u5230\u4e00\u5757\u7816\u65f6\uff0c\u7816\u88ab\u6d88\u9664\uff0c\u7403\u7684\u901f\u5ea6\u589e\u52a0\u5e76\u6539\u53d8\u65b9\u5411\u3002 \u8fd9\u6bb5\u4ee3\u7801\u4f5c\u7528\u4e8e\u6e38\u620f\u72b6\u6001\u6570\u636e\u3002<\/p>\n\n\n\n

\u6216\u8005\uff0c\u8003\u8651\u4e00\u4e2a\u91d1\u878d\u670d\u52a1\u573a\u666f\u3002 \u60a8\u62e5\u6709\u67d0\u4e2a\u516c\u53f8\u7684\u80a1\u7968\u6570\u636e\uff0c\u4f8b\u5982\u5176\u5f53\u524d\u4ef7\u683c\u548c\u5f53\u524d\u6536\u76ca\u3002 \u60a8\u53ef\u4ee5\u4f7f\u7528\u56fe 1-2 \u4e2d\u7684\u4ee3\u7801\u8ba1\u7b97\u51fa\u4e00\u4e2a\u5f88\u6709\u4ef7\u503c\u7684\u6bd4\u7387\uff0c\u79f0\u4e3a P\/E\u7387\uff08\u4ef7\u683c\u9664\u4ee5\u6536\u76ca\uff09\u3002<\/p>\n\n\n\n

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AI and machine learning for coders – Figure1-2 Code in a financial services scenario<\/figcaption><\/figure>\n\n\n\n

\u8fd9\u6bb5\u4ee3\u7801\u8bfb\u53d6\u4ef7\u683c\u548c\u6536\u76ca\u6570\u636e\uff0c\u5e76\u8fd4\u56de\u524d\u8005\u9664\u4ee5\u540e\u8005\u7684\u503c\u3002<\/p>\n\n\n\n

\u5982\u679c\u8bd5\u56fe\u5c06\u4f20\u7edf\u7f16\u7a0b\u603b\u7ed3\u6210\u4e00\u5f20\u56fe\uff0c\u5b83\u770b\u8d77\u6765\u5e94\u8be5\u50cf\u56fe 1-3\u3002<\/p>\n\n\n\n

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Figure 1-3. High-level view of traditional programming<\/figcaption><\/figure>\n\n\n\n

\u5982\u60a8\u6240\u89c1\uff0c\u60a8\u901a\u8fc7\u7f16\u7a0b\u8bed\u8a00\u6765\u8868\u8fbe\u89c4\u5219\u3002 \u8fd9\u4e9b\u89c4\u5219\u4f5c\u7528\u4e8e\u6570\u636e\uff0c\u800c\u7ed3\u679c\u5c31\u662f\u7b54\u6848\u3002<\/p>\n\n\n\n

\u4f20\u7edf\u7f16\u7a0b\u7684\u5c40\u9650\u6027<\/h4>\n\n\n\n

\u56fe 1-3 \u4e2d\u7684\u6a21\u578b\u4ece\u4e00\u5f00\u59cb\u5c31\u662f\u5f00\u53d1\u7684\u652f\u67f1\u3002 \u4f46\u5b83\u6709\u4e00\u4e2a\u56fa\u6709\u7684\u5c40\u9650\uff1a\u5373\u53ea\u6709\u53ef\u4ee5\u5b9e\u65bd\u7684\u573a\u666f\uff0c\u60a8\u624d\u53ef\u4ee5\u4ece\u4e2d\u63a8\u5bfc\u51fa\u89c4\u5219\u3002 \u90a3\u4e48\u5176\u4ed6\u66f4\u590d\u6742\u7684\u573a\u666f\u5462\uff1f \u901a\u5e38\uff0c\u7531\u4e8e\u4ee3\u7801\u592a\u590d\u6742\uff0c \u7f16\u5199\u4ee3\u7801\u6765\u5904\u7406\u8fd9\u4e9b\u573a\u666f\u51e0\u4e4e\u662f\u4e0d\u53ef\u80fd\u7684\u3002<\/p>\n\n\n\n

\u4f8b\u5982\uff0c\u8fd0\u52a8\u68c0\u6d4b\u3002 \u5065\u8eab\u76d1\u6d4b\u5668\u662f\u6700\u8fd1\u7684\u4e00\u9879\u521b\u65b0\uff0c\u53ef\u4ee5\u68c0\u6d4b\u6211\u4eec\u7684\u8fd0\u52a8\u72b6\u6001\uff0c\u8fd9\u4e0d\u4ec5\u662f\u56e0\u4e3a\u5ec9\u4ef7\u4e14\u5c0f\u578b\u7684\u786c\u4ef6\u73b0\u5728\u53d8\u7684\u53ef\u7528\uff0c\u66f4\u56e0\u4e3a\u5904\u7406\u68c0\u6d4b\u7684\u7b97\u6cd5\u5728\u4e4b\u524d\u5e76\u4e0d\u53ef\u884c\u3002\u8ba9\u6211\u4eec\u63a2\u8ba8\u4e00\u4e0b\u539f\u56e0\u3002<\/p>\n\n\n\n

\u56fe 1-4 \u663e\u793a\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u6b65\u884c\u6d3b\u52a8\u68c0\u6d4b\u7b97\u6cd5\u3002 \u5b83\u53ef\u4ee5\u8003\u8651\u4eba\u7684\u901f\u5ea6\u3002 \u5982\u679c\u901f\u5ea6\u5c0f\u4e8e\u7279\u5b9a\u503c\uff0c\u6211\u4eec\u53ef\u4ee5\u786e\u5b9a\u4ed6\u4eec\u53ef\u80fd\u6b63\u5728\u8d70\u8def\u3002<\/p>\n\n\n\n

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Figure 1-4. Algorithm for activity detection<\/figcaption><\/figure>\n\n\n\n

\u9274\u4e8e\u6211\u4eec\u7684\u6570\u636e\u662f\u901f\u5ea6\uff0c\u6211\u4eec\u53ef\u4ee5\u8fdb\u884c\u6269\u5c55\u8fd9\u4e2a\u7b97\u6cd5\uff0c\u6765\u68c0\u6d4b\u4eba\u7269\u662f\u5426\u6b63\u5728\u8dd1\u6b65\uff08\u56fe 1-5\uff09\u3002<\/p>\n\n\n\n

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Figure 1-5. Extending the algorithm for running<\/figcaption><\/figure>\n\n\n\n

\u5982\u60a8\u6240\u89c1\uff0c\u6839\u636e\u901f\u5ea6\uff0c\u6211\u4eec\u53ef\u80fd\u4f1a\u8bf4\u5982\u679c\u5b83\u5c0f\u4e8e\u67d0\u4e2a\u7279\u5b9a\u503c\uff08\u4f8b\u5982 4 \u82f1\u91cc\/\u5c0f\u65f6\uff09\uff0c\u5219\u8be5\u4eba\u6b63\u5728\u884c\u8d70\uff0c\u5426\u5219\u4ed6\u4eec\u6b63\u5728\u8dd1\u6b65\u3002 \u8fd9\u4f3c\u4e4e\u8fd8\u7b97\u6709\u6548\u3002<\/p>\n\n\n\n

\u73b0\u5728\u5047\u8bbe\u6211\u4eec\u60f3\u5c06\u5176\u6269\u5c55\u5230\u53e6\u4e00\u79cd\u6d41\u884c\u7684\u5065\u8eab\u6d3b\u52a8\uff0c\u9a91\u81ea\u884c\u8f66\u3002 \u8be5\u7b97\u6cd5\u53ef\u80fd\u7c7b\u4f3c\u4e8e\u56fe 1-6<\/p>\n\n\n\n

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Figure 1-6. Extending the algorithm for biking<\/figcaption><\/figure>\n\n\n\n

\u6211\u77e5\u9053\u8fd9\u5f88\u5929\u771f\uff0c\u56e0\u4e3a\u5b83\u53ea\u662f\u68c0\u6d4b\u901f\u5ea6\u2014\u2014\u4f8b\u5982\uff0c\u6709\u4e9b\u4eba\u8dd1\u5f97\u6bd4\u8f83\u5feb\uff0c\u800c\u4e14\u8dd1\u6b65\u4e0b\u5761\u7684\u901f\u5ea6\u53ef\u80fd\u6bd4\u9a91\u8f66\u4e0a\u5761\u5feb\uff0c\u56e0\u6b64\u8fd9\u4e2a\u5224\u65ad\u5e76\u4e0d\u51c6\u786e\u3002 \u4f46\u603b\u7684\u6765\u8bf4\uff0c\u5b83\u4ecd\u7136\u8fd8\u7b97\u6709\u6548\u3002 \u4f46\u662f\uff0c\u5982\u679c\u6211\u4eec\u60f3\u5b9e\u73b0\u53e6\u4e00\u4e2a\u573a\u666f\uff0c\u6bd4\u5982\u6253\u9ad8\u5c14\u592b\u7403\uff08\u56fe 1-7\uff09\uff0c\u4f1a\u53d1\u751f\u4ec0\u4e48\u60c5\u51b5\u5462\uff1f<\/p>\n\n\n\n

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Figure 1-7. How do we write a golfing algorithm?<\/figcaption><\/figure>\n\n\n\n

\u6211\u4eec\u5982\u4f55\u901a\u8fc7\u7c7b\u4f3c\u7684\u65b9\u6cd5\u6765\u786e\u5b9a\u67d0\u4eba\u662f\u5426\u6b63\u5728\u6253\u9ad8\u5c14\u592b\u7403\u5462\uff1f \u8fd9\u4e2a\u4eba\u53ef\u80fd\u4f1a\u8d70\u4e00\u4f1a\u513f\uff0c\u505c\u4e0b\u6765\uff0c\u505a\u4e00\u4e9b\u6d3b\u52a8\uff0c\u518d\u8d70\u4e00\u4f1a\u513f\uff0c\u505c\u4e0b\u6765 …… \u3002\u4f46\u662f\u6211\u4eec\u600e\u4e48\u77e5\u9053\u8fd9\u662f\u5728\u6253\u9ad8\u5c14\u592b\u5462\uff1f<\/p>\n\n\n\n

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\u8ba9\u6211\u4eec\u4e00\u8d77\u8fdb\u5165\u673a\u5668\u5b66\u4e60\u3002<\/p>\n\n\n\n

\u4ece\u7f16\u7a0b\u5230\u5b66\u4e60<\/h4>\n\n\n\n

\u8ba9\u6211\u4eec\u56de\u987e\u4e00\u4e0b\u6211\u4eec\u7528\u6765\u603b\u7ed3\u4ec0\u4e48\u662f\u4f20\u7edf\u7f16\u7a0b\u7684\u56fe\uff08\u56fe 1-8\uff09\u3002 \u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u6709\u89c4\u5219\u4f5c\u7528\u4e8e\u6570\u636e\u5e76\u7ed9\u6211\u4eec\u7b54\u6848\u3002 \u5728\u6211\u4eec\u7684\u6d3b\u52a8\u68c0\u6d4b\u573a\u666f\u4e2d\uff0c\u6570\u636e\u662f\u4eba\u79fb\u52a8\u7684\u901f\u5ea6\uff1b \u7531\u6b64\u6211\u4eec\u53ef\u4ee5\u7f16\u5199\u89c4\u5219\u6765\u68c0\u6d4b\u4ed6\u4eec\u7684\u6d3b\u52a8\uff0c\u65e0\u8bba\u662f\u6b65\u884c\u3001\u9a91\u81ea\u884c\u8f66\u8fd8\u662f\u8dd1\u6b65\u3002 \u7136\u800c\uff0c\u6211\u4eec\u5728\u68c0\u6d4b\u6253\u9ad8\u5c14\u592b\u7403\u65f6\u78b0\u58c1\u4e86\uff0c\u56e0\u4e3a\u6211\u4eec\u65e0\u6cd5\u7ed9\u51fa\u4e00\u4e2a\u89c4\u5219\u6765\u786e\u5b9a\u8fd9\u9879\u6d3b\u52a8\u662f\u4ec0\u4e48\u6837\u5b50\u7684\u3002<\/p>\n\n\n\n

\"\"
Figure 1-8. The traditional programming flow<\/figcaption><\/figure>\n\n\n\n

\u4f46\u662f\u5982\u679c\u6211\u4eec\u628a\u8fd9\u4e2a\u56fe\u5de6\u53f3\u7ffb\u8f6c\u4e00\u4e0b\u4f1a\u53d1\u751f\u4ec0\u4e48\uff1f \u5982\u679c\u6211\u4eec\u4e0d\u662f\u7ed9\u51fa\u89c4\u5219\uff0c\u800c\u662f\u8fde\u540c\u6570\u636e\u4e00\u8d77\u7ed9\u51fa\u7b54\u6848\uff0c\u800c\u7528\u4e00\u79cd\u65b9\u6cd5\u5f04\u6e05\u695a\u89c4\u5219\u53ef\u80fd\u662f\u4ec0\u4e48\uff0c\u90a3\u4f1a\u600e\u6837\uff1f<\/p>\n\n\n\n

\u56fe 1-9 \u663e\u793a\u4e86\u5b83\u7684\u6837\u5b50\u3002 \u6211\u4eec\u53ef\u4ee5\u7528\u8fd9\u4e2a\u9ad8\u7ea7\u56fe\u793a\u6765\u5b9a\u4e49\u673a\u5668\u5b66\u4e60\u3002<\/p>\n\n\n\n

\"\"
Figure 1-9. Changing the axes to get machine learning<\/figcaption><\/figure>\n\n\n\n

\u90a3\u4e48\u8fd9\u610f\u5473\u7740\u4ec0\u4e48\u5462\uff1f \u55ef\u3002\u3002\u3002\u6211\u4eec\u73b0\u5728\u5e76\u4e0d\u662f\u8981\u8bd5\u56fe\u5f04\u6e05\u695a\u89c4\u5219\u662f\u4ec0\u4e48\uff0c\u800c\u662f\u83b7\u5f97\u4e86\u5927\u91cf\u5173\u4e8e\u6211\u4eec\u573a\u666f\u7684\u6570\u636e\uff0c\u6211\u4eec\u6807\u8bb0\u8fd9\u4e9b\u6570\u636e\uff0c\u7136\u540e\u4ea4\u7ed9\u8ba1\u7b97\u673a\u53bb\u5f04\u6e05\u695a\u662f\u4ec0\u4e48\u6837\u7684\u89c4\u5219\u4f7f\u5f97\u4e00\u4e2a\u6570\u636e\u548c\u4e00\u4e2a\u7279\u5b9a\u7684\u6807\u7b7e\u76f8\u5339\u914d\uff0c\u800c\u53e6\u4e00\u6761\u6570\u636e\u5219\u5339\u914d\u53e6\u4e00\u4e2a\u4e0d\u540c\u7684\u6807\u7b7e\u3002<\/p>\n\n\n\n

\u8fd9\u5bf9\u4e8e\u6211\u4eec\u7684\u6d3b\u52a8\u68c0\u6d4b\u573a\u666f\u6709\u4ec0\u4e48\u7528\u5462\uff1f \u597d\u5427\uff0c\u6211\u4eec\u53ef\u4ee5\u67e5\u770b\u6240\u6709\u4e3a\u6211\u4eec\u63d0\u4f9b\u6709\u5173\u6b64\u4eba\u6570\u636e\u7684\u4f20\u611f\u5668\u3002 \u5982\u679c\u4ed6\u4eec\u6709\u4e00\u4e2a\u53ef\u68c0\u6d4b\u5fc3\u7387\u3001\u4f4d\u7f6e\u3001\u901f\u5ea6\u7b49\u4fe1\u606f\u7684\u53ef\u7a7f\u6234\u8bbe\u5907\u2014\u2014\u5982\u679c\u6211\u4eec\u5728\u4ed6\u4eec\u8fdb\u884c\u4e0d\u540c\u7684\u6d3b\u52a8\u65f6\u6536\u96c6\u4e86\u5927\u91cf\u6b64\u7c7b\u6570\u636e\u7684\u5b9e\u4f8b\u2014\u2014\u6211\u4eec\u6700\u7ec8\u4f1a\u5f97\u5230\u4e00\u4e2a\u62e5\u6709\u6570\u636e\u7684\u573a\u666f\uff0c\u5e76\u4e14\u4e0a\u9762\u5199\u7740\u201c\u8fd9\u65f6\u4ed6\u5728\u8d70\u8def\u201d\u3001\u201c\u8fd9\u65f6\u4ed6\u5728\u8dd1\u6b65\u201d\u7b49\u7b49\uff08\u56fe 1-10\uff09\u3002<\/p>\n\n\n\n

\"\"
Figure 1-10. From coding to ML: gathering and labeling data<\/figcaption><\/figure>\n\n\n\n

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