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<\/a>
\u3010\u6a5f\u5668\u5b78\u7fd2 Machine Learning\u30113\u5c0f\u6642\u521d\u5b78\u8005\u6559\u5b78 | \u6a5f\u5668\u5b78\u7fd2\u6559\u5b78 | \u6a5f\u5668\u5b78\u7fd2\u5165\u9580 | #python #ML #\u6df1\u5ea6\u5b78\u7fd2<\/span>
YouTube \u6559\u5b78\u5f71\u7247 – \u6a5f\u5668\u5b78\u7fd2Machine LearningMLpython<\/div>
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  1. \u7406\u89e3\u57fa\u790e\u6982\u5ff5\uff1a\u958b\u59cb\u5b78\u7fd2\u6a5f\u5668\u5b78\u7fd2\u4e4b\u524d\uff0c\u4e86\u89e3\u4e00\u4e9b\u57fa\u672c\u6982\u5ff5\u662f\u5f88\u91cd\u8981\u7684\u3002\u4f8b\u5982\uff0c\u4ec0\u9ebc\u662f\u6578\u64da\u96c6\u3001\u7279\u5fb5\u3001\u6a21\u578b\u7b49\u3002\u9019\u5c07\u70ba\u4f60\u6253\u4e0b\u5805\u5be6\u7684\u57fa\u790e\uff0c\u4f7f\u4f60\u66f4\u5bb9\u6613\u7406\u89e3\u5f8c\u7e8c\u7684\u5167\u5bb9\u3002<\/p><\/li>\n\n\n\n

  2. \u5b78\u7fd2\u7de8\u7a0b\u8a9e\u8a00\uff1a\u6a5f\u5668\u5b78\u7fd2\u4f7f\u7528\u5404\u7a2e\u7de8\u7a0b\u8a9e\u8a00\uff0c\u4f46Python\u662f\u6700\u6d41\u884c\u7684\u9078\u64c7\u4e4b\u4e00\u3002\u5b78\u7fd2Python\u5c07\u4f7f\u4f60\u80fd\u5920\u4f7f\u7528\u5404\u7a2e\u6a5f\u5668\u5b78\u7fd2\u5eab\u548c\u5de5\u5177\u3002<\/p><\/li>\n\n\n\n

  3. \u63a2\u7d22\u5e38\u7528\u6a5f\u5668\u5b78\u7fd2\u7b97\u6cd5\uff1a\u4e86\u89e3\u4e00\u4e9b\u5e38\u7528\u7684\u6a5f\u5668\u5b78\u7fd2\u7b97\u6cd5\uff0c\u4f8b\u5982\u7dda\u6027\u56de\u6b78\u3001\u6c7a\u7b56\u6a39\u3001\u652f\u6301\u5411\u91cf\u6a5f\u7b49\u3002\u7406\u89e3\u9019\u4e9b\u7b97\u6cd5\u7684\u539f\u7406\u548c\u61c9\u7528\u5834\u666f\uff0c\u5c07\u5e6b\u52a9\u4f60\u5728\u5be6\u969b\u9805\u76ee\u4e2d\u61c9\u7528\u6a5f\u5668\u5b78\u7fd2\u6280\u8853\u3002<\/p><\/li>\n\n\n\n

  4. \u5be6\u8e10\u9805\u76ee\uff1a\u901a\u904e\u5be6\u969b\u9805\u76ee\u4f86\u61c9\u7528\u4f60\u6240\u5b78\u7684\u77e5\u8b58\u3002\u627e\u4e00\u4e9b\u771f\u5be6\u7684\u6578\u64da\u96c6\uff0c\u4e26\u4f7f\u7528\u6a5f\u5668\u5b78\u7fd2\u7b97\u6cd5\u9032\u884c\u5206\u6790\u548c\u9810\u6e2c\u3002\u9019\u5c07\u5e6b\u52a9\u4f60\u77ad\u89e3\u5be6\u969b\u554f\u984c\u4e2d<\/p><\/li>\n<\/ol>\n\n\n\n

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    1. \u4e86\u89e3\u6df1\u5ea6\u5b78\u7fd2\uff1a\u6df1\u5ea6\u5b78\u7fd2\u662f\u6a5f\u5668\u5b78\u7fd2\u7684\u4e00\u500b\u91cd\u8981\u5206\u652f\uff0c\u5b83\u901a\u904e\u5efa\u7acb\u6df1\u5c64\u795e\u7d93\u7db2\u7d61\u6a21\u578b\u4f86\u5be6\u73fe\u66f4\u9ad8\u7d1a\u7684\u5b78\u7fd2\u548c\u9810\u6e2c\u3002\u6df1\u5ea6\u5b78\u7fd2\u6280\u8853\u5728\u5716\u50cf\u8655\u7406\u3001\u8a9e\u97f3\u8b58\u5225\u7b49\u9818\u57df\u6709\u5ee3\u6cdb\u61c9\u7528\u3002<\/p><\/li>\n\n\n\n

    2. \u638c\u63e1\u6a5f\u5668\u5b78\u7fd2\u5de5\u5177\u548c\u6846\u67b6\uff1a\u5b78\u7fd2\u5982\u4f55\u4f7f\u7528\u6a5f\u5668\u5b78\u7fd2\u5eab\u548c\u6846\u67b6\uff0c\u4f8b\u5982TensorFlow\u3001PyTorch\u3001scikit-learn\u7b49\u3002\u9019\u4e9b\u5de5\u5177\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u7684\u51fd\u6578\u548cAPI\uff0c\u65b9\u4fbf\u4f60\u8a2d\u8a08\u548c\u8a13\u7df4\u6a5f\u5668\u5b78\u7fd2\u6a21\u578b\u3002<\/p><\/li>\n\n\n\n

    3. \n

      \u4e86\u89e3\u7279\u5b9a\u61c9\u7528\u9818\u57df\uff1a\u63a2\u7d22\u6a5f\u5668\u5b78\u7fd2\u5728\u7279\u5b9a\u61c9\u7528\u9818\u57df\u4e2d\u7684\u61c9\u7528\uff0c\u4f8b\u5982\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u3001\u8a08\u7b97\u6a5f\u8996\u89ba\u3001\u63a8\u85a6\u7cfb\u7d71\u7b49\u3002\u4e86\u89e3\u4e0d\u540c\u9818\u57df\u7684\u61c9\u7528\u5834\u666f\u548c\u76f8\u95dc\u6280\u8853\uff0c\u53ef\u4ee5\u5e6b\u52a9\u4f60\u5728\u76f8\u61c9\u9818\u57df\u4e2d\u61c9\u7528\u6a5f\u5668\u5b78\u7fd2\u6280\u8853\u3002<\/p>\n<\/li>\n\n\n\n

    4. \u53c3\u8207\u7af6\u8cfd\u548c\u5c08\u6848\uff1a\u53c3\u8207\u6a5f\u5668\u5b78\u7fd2\u7af6\u8cfd\u548c\u5c08\u6848\u662f\u63d0\u5347<\/p><\/li>\n<\/ol>\n\n\n\n

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      1. \u52a0\u5f37\u6578\u5b78\u57fa\u790e\uff1a\u6a5f\u5668\u5b78\u7fd2\u6d89\u53ca\u5230\u8a31\u591a\u6578\u5b78\u6982\u5ff5\uff0c\u5982\u7dda\u6027\u4ee3\u6578\u3001\u6982\u7387\u7d71\u8a08\u3001\u5fae\u7a4d\u5206\u7b49\u3002\u52a0\u5f37\u9019\u4e9b\u6578\u5b78\u57fa\u790e\u5c07\u6709\u52a9\u65bc\u4f60\u66f4\u6df1\u5165\u7406\u89e3\u6a5f\u5668\u5b78\u7fd2\u7b97\u6cd5\u7684\u539f\u7406\u548c\u63a8\u5c0e\u3002<\/p><\/li>\n\n\n\n

      2. \u6df1\u5165\u7814\u7a76\u6700\u65b0\u7814\u7a76\u8ad6\u6587\uff1a\u4e86\u89e3\u6a5f\u5668\u5b78\u7fd2\u9818\u57df\u7684\u6700\u65b0\u7814\u7a76\u6210\u679c\u548c\u6280\u8853\u8da8\u52e2\u3002\u95b1\u8b80\u548c\u5206\u6790\u7814\u7a76\u8ad6\u6587\u5c07\u5e6b\u52a9\u4f60\u4fdd\u6301\u5c0d\u9818\u57df\u767c\u5c55\u7684\u654f\u611f\u6027\u4e26\u5b78\u7fd2\u6700\u65b0\u7684\u6280\u8853\u3002<\/p><\/li>\n\n\n\n

      3. \u53c3\u8207\u5b78\u8853\u548c\u5c08\u696d\u793e\u5340\uff1a\u53c3\u8207\u6a5f\u5668\u5b78\u7fd2\u7684\u5b78\u8853\u548c\u5c08\u696d\u793e\u5340\uff0c\u5982\u53c3\u52a0\u7814\u8a0e\u6703\u3001\u5de5\u4f5c\u574a\u6216\u52a0\u5165\u76f8\u95dc\u7684\u5728\u7dda\u793e\u7fa4\u3002\u9019\u5c07\u63d0\u4f9b\u8207\u5176\u4ed6\u5b78\u7fd2\u8005\u548c\u5c08\u696d\u4eba\u58eb\u4ea4\u6d41\u7684\u6a5f\u6703\uff0c\u4e26\u4fc3\u9032\u4f60\u7684\u5b78\u7fd2\u548c\u6210\u9577\u3002<\/p><\/li>\n\n\n\n

      4. \n

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