{"id":323,"date":"2024-11-11T14:48:53","date_gmt":"2024-11-11T06:48:53","guid":{"rendered":"https:\/\/www.kz-hub.tech\/?p=323"},"modified":"2025-06-11T10:53:45","modified_gmt":"2025-06-11T02:53:45","slug":"%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e4%b8%8e%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e5%9f%ba%e7%a1%80","status":"publish","type":"post","link":"https:\/\/www.kz-hub.tech\/index.php\/2024\/11\/11\/%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e4%b8%8e%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e5%9f%ba%e7%a1%80\/","title":{"rendered":"\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60\u4e0eAI\u57fa\u7840"},"content":{"rendered":"

1.\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u5b9a\u4e49\u4e0e\u5dee\u522b<\/h3>\n

\u673a\u5668\u5b66\u4e60\uff1a\u662f\u4e00\u79cd\u4eba\u5de5\u667a\u80fd\u6280\u672f\uff0c\u5728\u7ed9\u5b9a\u6570\u636e\u96c6\u7684\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u81ea\u52a8\u5b66\u4e60\u6a21\u5f0f\u5e76\u4f7f\u7528\u5b66\u4e60\u7ed3\u679c\u6765\u9884\u6d4b\u6216\u505a\u51fa\u51b3\u7b56\u3002\u5b83\u4f9d\u9760\u6570\u5b66\u548c\u7edf\u8ba1\u5b66\u7b97\u6cd5\u6765\u6784\u5efa\u6a21\u578b\uff0c\u8fd9\u4e9b\u6a21\u578b\u53ef\u4ee5\u4f7f\u8ba1\u7b97\u673a\u5728\u6ca1\u6709\u660e\u786e\u7f16\u7a0b\u7684\u60c5\u51b5\u4e0b\u81ea\u4e3b\u5b66\u4e60\u3002<\/p>\n

\u6df1\u5ea6\u5b66\u4e60\uff1a\u662f\u4e00\u79cd\u673a\u5668\u5b66\u4e60\u7684\u65b9\u6cd5\uff0c\u5b83\u5229\u7528\u7531\u591a\u4e2a\u5c42\u6b21\u6784\u6210\u7684\u795e\u7ecf\u7f51\u7edc\u6765\u6a21\u62df\u548c\u89e3\u51b3\u590d\u6742\u95ee\u9898\u3002\u5b83\u7684\u6838\u5fc3\u601d\u60f3\u662f\u901a\u8fc7\u5c42\u6b21\u5316\u7684\u5b66\u4e60\u548c\u7279\u5f81\u63d0\u53d6\uff0c\u4ece\u800c\u9010\u6b65\u63d0\u9ad8\u6a21\u578b\u5bf9\u6570\u636e\u7684\u8868\u5f81\u80fd\u529b\u548c\u9884\u6d4b\u80fd\u529b\u3002\u5728\u6df1\u5ea6\u5b66\u4e60\u4e2d\uff0c\u6838\u5fc3\u6280\u672f\u5305\u62ec\u53cd\u5411\u4f20\u64ad\u7b97\u6cd5\u3001\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u3001\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u3001\u751f\u6210\u5bf9\u6297\u7f51\u7edc\u7b49\u3002\u6df1\u5ea6\u5b66\u4e60\u5177\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u573a\u666f\uff0c\u5982\u56fe\u50cf\u8bc6\u522b\u3001\u8bed\u97f3\u8bc6\u522b\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u4eba\u5de5\u667a\u80fd\u7b49\u9886\u57df\u3002<\/p>\n

\"\"
\n\"\"
\n\"\"<\/p>\n

\u4e3b\u8981\u533a\u522b<\/h4>\n
    \n
  1. \u6a21\u578b\u590d\u6742\u6027
    \n1.1\u673a\u5668\u5b66\u4e60\uff1a\u901a\u5e38\u91c7\u7528\u8f83\u4e3a\u7b80\u5355\u7684\u6a21\u578b\uff0c\u5982\u7ebf\u6027\u56de\u5f52\u3001\u903b\u8f91\u56de\u5f52\u3001\u652f\u6301\u5411\u91cf\u673a\u3001\u51b3\u7b56\u6811\u7b49\u3002\u8fd9\u4e9b\u6a21\u578b\u7ed3\u6784\u7b80\u5355\uff0c\u6613\u4e8e\u7406\u89e3\u548c\u89e3\u91ca\uff0c\u9002\u7528\u4e8e\u4e2d\u5c0f\u89c4\u6a21\u7684\u6570\u636e\u96c6\u3002
    \n1.2\u6df1\u5ea6\u5b66\u4e60\uff1a\u4f7f\u7528\u591a\u5c42\u795e\u7ecf\u7f51\u7edc\uff0c\u5c24\u5176\u662f\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\uff0c\u5305\u542b\u5927\u91cf\u7684\u53c2\u6570\u548c\u590d\u6742\u7684\u8ba1\u7b97\u7ed3\u6784\u3002\u5178\u578b\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5982\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u3001\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u3001\u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff08GAN\uff09\u7b49\uff0c\u80fd\u591f\u5904\u7406\u590d\u6742\u7684\u9ad8\u7ef4\u6570\u636e\u3002<\/li>\n
  2. \u7279\u5f81\u63d0\u53d6
    \n2.1\u673a\u5668\u5b66\u4e60\uff1a\u901a\u5e38\u9700\u8981\u4eba\u5de5\u8fdb\u884c\u7279\u5f81\u5de5\u7a0b\uff0c\u6839\u636e\u9886\u57df\u77e5\u8bc6\u63d0\u53d6\u5173\u952e\u7279\u5f81\uff0c\u4ee5\u4fbf\u7b97\u6cd5\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u548c\u5229\u7528\u6570\u636e\u3002\u8fd9\u4e00\u8fc7\u7a0b\u9700\u8981\u5927\u91cf\u7684\u4e13\u5bb6\u77e5\u8bc6\u548c\u7ecf\u9a8c\u3002
    \n2.2\u6df1\u5ea6\u5b66\u4e60\uff1a\u901a\u8fc7\u591a\u5c42\u795e\u7ecf\u7f51\u7edc\u7684\u81ea\u52a8\u7279\u5f81\u63d0\u53d6\u80fd\u529b\uff0c\u4ece\u539f\u59cb\u6570\u636e\u4e2d\u81ea\u52a8\u5b66\u4e60\u548c\u63d0\u53d6\u9ad8\u5c42\u6b21\u7279\u5f81\u3002\u65e0\u9700\u4eba\u5de5\u5e72\u9884\uff0c\u7f51\u7edc\u5c42\u6b21\u8d8a\u6df1\uff0c\u63d0\u53d6\u7684\u7279\u5f81\u8d8a\u62bd\u8c61\u548c\u590d\u6742\u3002<\/li>\n
  3. \u6570\u636e\u4e0e\u8ba1\u7b97\u8d44\u6e90
    \n3.1\u673a\u5668\u5b66\u4e60\uff1a\u9002\u7528\u4e8e\u6570\u636e\u91cf\u76f8\u5bf9\u8f83\u5c0f\u7684\u4efb\u52a1\uff0c\u5bf9\u8ba1\u7b97\u8d44\u6e90\u8981\u6c42\u8f83\u4f4e\uff0c\u901a\u5e38\u5728\u666e\u901a\u8ba1\u7b97\u673a\u4e0a\u5373\u53ef\u8fd0\u884c\u3002
    \n3.2\u6df1\u5ea6\u5b66\u4e60\uff1a\u9700\u8981\u5927\u91cf\u7684\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\uff0c\u5c24\u5176\u662f\u5728\u56fe\u50cf\u3001\u8bed\u97f3\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7b49\u9886\u57df\u3002\u5bf9\u8ba1\u7b97\u8d44\u6e90\u8981\u6c42\u8f83\u9ad8\uff0c\u901a\u5e38\u9700\u8981GPU\u6216TPU\u7b49\u9ad8\u6027\u80fd\u8ba1\u7b97\u8bbe\u5907\u652f\u6301\u3002<\/li>\n<\/ol>\n
    \n

    2.\u673a\u5668\u5b66\u4e60\/\u6df1\u5ea6\u5b66\u4e60\/AI\u7684\u5185\u5bb9\u4ee5\u53ca\u4ec0\u4e48\u662f\u5b66\u4e60\uff1f<\/h3>\n

    \u2460 \u8f93\u5165\uff08\u56fe\u7247\u3001\u6570\u636e\u96c6\uff09\uff1b\u2461\u7b97\u6cd5\uff08\u53c2\u6570\uff09\uff1b\u2462\u8f93\u51fa\uff08\u5206\u7c7b\uff09<\/p>\n

    \u8fd9\u91cc\u7684\u7b97\u6cd5\uff08\u53c2\u6570\uff09\u5c31\u88ab\u79f0\u4e3a\u611f\u77e5\u673a\uff0c\u901a\u8fc7\u8c03\u6574\u53c2\u6570\uff0c\u4f7f\u5f97\u53ef\u4ee5\u628a\u8f93\u5165\uff08\u56fe\u7247\u3001\u6570\u636e\u96c6\uff09\u8fdb\u884c\u5206\u7c7b\uff08\u8f93\u51fa\uff09\u3002\u901a\u8fc7\u53cd\u590d\u5bf9\u53c2\u6570\u7684\u8bd5\u9519\u548c\u8c03\u6574\u79f0\u4e4b\u4e3a\u53c2\u6570\u7684\u5b66\u4e60\uff0c\u4e5f\u53eb\u6a21\u578b\u7684\u8bad\u7ec3<\/p>\n

    \n

    3. \u5b66\u4e60\u7684\u5206\u7c7b<\/h3>\n

    \u673a\u5668\u5b66\u4e60\u901a\u5e38\u5206\u4e3a\u4e09\u79cd\u4e3b\u8981\u7c7b\u578b\uff1a\u76d1\u7763\u5b66\u4e60\u3001\u65e0\u76d1\u7763\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u3002<\/p>\n

      \n
    1. \n

      \u76d1\u7763\u5b66\u4e60\uff1a<\/strong> \u76d1\u7763\u5b66\u4e60\u662f\u6307\u5728\u8bad\u7ec3\u6570\u636e\u96c6\u4e2d\u5305\u542b\u8f93\u5165\u548c\u76f8\u5e94\u7684\u6b63\u786e\u8f93\u51fa\uff0c\u901a\u8fc7\u5b66\u4e60\u8fd9\u4e9b\u8f93\u5165\u8f93\u51fa\u5bf9\uff0c\u6a21\u578b\u80fd\u591f\u63a8\u65ad\u51fa\u65b0\u7684\u6570\u636e\u3002\u5e38\u89c1\u7684\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5\u6709\uff1a
      \n1.1 \u7ebf\u6027\u56de\u5f52\u7b97\u6cd5\uff08Linear Regression\uff09\uff1a\u7ebf\u6027\u56de\u5f52\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u6700\u57fa\u7840\u4e5f\u662f\u5e94\u7528\u6700\u5e7f\u6cdb\u7684\u7b97\u6cd5\u4e4b\u4e00\u3002\u5b83\u4e3b\u8981\u7528\u4e8e\u9884\u6d4b\u4e00\u4e2a\u6216\u591a\u4e2a\u81ea\u53d8\u91cf\uff08\u8f93\u5165\u7279\u5f81\uff09\u4e0e\u4e00\u4e2a\u56e0\u53d8\u91cf\uff08\u8f93\u51fa\u6807\u7b7e\uff09\u4e4b\u95f4\u7684\u7ebf\u6027\u5173\u7cfb\u3002\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u8bd5\u56fe\u627e\u5230\u4e00\u6761\u76f4\u7ebf\uff08\u5728\u4e8c\u7ef4\u7a7a\u95f4\u4e2d\uff09\u6216\u4e00\u4e2a\u8d85\u5e73\u9762\uff08\u5728\u66f4\u9ad8\u7ef4\u7a7a\u95f4\u4e2d\uff09\uff0c\u4f7f\u5f97\u6240\u6709\u6570\u636e\u70b9\u5230\u8fd9\u6761\u76f4\u7ebf\u6216\u8d85\u5e73\u9762\u7684\u5782\u76f4\u8ddd\u79bb\u4e4b\u548c\u6700\u5c0f\uff0c\u8fd9\u6837\u7684\u76f4\u7ebf\u6216\u8d85\u5e73\u9762\u79f0\u4e3a\u6700\u4f73\u62df\u5408\u7ebf\u6216\u6700\u4f73\u62df\u5408\u8d85\u5e73\u9762\u3002
      \n1.2 \u652f\u6301\u5411\u91cf\u673a\u7b97\u6cd5\uff08Support Vector Machine,SVM\uff09\uff1a\u652f\u6301\u5411\u91cf\u673a\uff08Support Vector Machine\uff0cSVM\uff09\u662f\u4e00\u79cd\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5\uff0c\u53ef\u4ee5\u7528\u4e8e\u5206\u7c7b\u6216\u56de\u5f52\u4efb\u52a1\u3002SVM\u7684\u57fa\u672c\u6a21\u578b\u662f\u5728\u7279\u5f81\u7a7a\u95f4\u4e0a\u627e\u5230\u4e00\u4e2a\u6700\u4f18\u7684\u8d85\u5e73\u9762\uff0c\u8fd9\u4e2a\u8d85\u5e73\u9762\u80fd\u591f\u6700\u597d\u5730\u5c06\u4e0d\u540c\u7c7b\u522b\u7684\u6570\u636e\u5206\u5f00\uff0c\u540c\u65f6\u4fdd\u6301\u6700\u5927\u7684\u95f4\u9694\uff08margin\uff09\u3002\u5bf9\u4e8e\u5206\u7c7b\u95ee\u9898\uff0cSVM\u5bfb\u627e\u4e00\u4e2a\u8d85\u5e73\u9762\uff0c\u4f7f\u5f97\u8ddd\u79bb\u6700\u8fd1\u7684\u4e24\u4e2a\u4e0d\u540c\u7c7b\u522b\u7684\u6570\u636e\u70b9\u4e4b\u95f4\u7684\u8ddd\u79bb\u6700\u5927\uff0c\u8fd9\u6837\u7684\u8d85\u5e73\u9762\u79f0\u4e3a\u6700\u5927\u95f4\u9694\u8d85\u5e73\u9762\u3002
      \n1.3 \u6700\u8fd1\u90bb\u5c45\/k-\u8fd1\u90bb\u7b97\u6cd5\uff08K-Nearest Neighbors,KNN\uff09\uff1ak-\u8fd1\u90bb\uff08k-Nearest Neighbors\uff0ck-NN\uff09\u7b97\u6cd5\u662f\u4e00\u79cd\u57fa\u672c\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u7528\u4e8e\u5206\u7c7b\u548c\u56de\u5f52\u4efb\u52a1\u3002\u5b83\u7684\u5de5\u4f5c\u539f\u7406\u975e\u5e38\u7b80\u5355\uff1a\u5bf9\u4e8e\u4e00\u4e2a\u672a\u77e5\u7c7b\u522b\u7684\u6570\u636e\u70b9\uff0ck-NN\u7b97\u6cd5\u4f1a\u5728\u8bad\u7ec3\u96c6\u4e2d\u627e\u5230\u4e0e\u5b83\u6700\u63a5\u8fd1\u7684k\u4e2a\u6570\u636e\u70b9\uff0c\u7136\u540e\u6839\u636e\u8fd9k\u4e2a\u201c\u90bb\u5c45\u201d\u7684\u7c7b\u522b\u6765\u9884\u6d4b\u672a\u77e5\u6570\u636e\u70b9\u7684\u7c7b\u522b\u3002\u5982\u679ck-NN\u7528\u4e8e\u56de\u5f52\u4efb\u52a1\uff0c\u90a3\u4e48\u9884\u6d4b\u503c\u901a\u5e38\u662fk\u4e2a\u90bb\u5c45\u7684\u5e73\u5747\u503c\u3002
      \n1.4 \u903b\u8f91\u56de\u5f52\u7b97\u6cd5\uff08Logistic Regression\uff09
      \n1.5 \u51b3\u7b56\u6811\u7b97\u6cd5\uff08Decision Tree\uff09\uff1a\u51b3\u7b56\u6811\uff08Decision Tree\uff09\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u7528\u4e8e\u5206\u7c7b\u548c\u56de\u5f52\u4efb\u52a1\u3002\u5b83\u662f\u4e00\u79cd\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5\uff0c\u4ee5\u6811\u5f62\u7ed3\u6784\u8fdb\u884c\u51b3\u7b56\u3002\u6bcf\u4e2a\u5185\u90e8\u8282\u70b9\u4ee3\u8868\u4e00\u4e2a\u7279\u5f81\uff0c\u6bcf\u4e2a\u5206\u652f\u4ee3\u8868\u4e00\u4e2a\u7279\u5f81\u7684\u6d4b\u8bd5\u7ed3\u679c\uff0c\u6bcf\u4e2a\u53f6\u8282\u70b9\u4ee3\u8868\u4e00\u4e2a\u5206\u7c7b\u6216\u56de\u5f52\u7ed3\u679c\u3002
      \n1.6 \u968f\u673a\u68ee\u6797\u7b97\u6cd5\uff08Random Forest\uff09\uff1a\u968f\u673a\u68ee\u6797\uff08Random Forest\uff09\u662f\u4e00\u79cd\u57fa\u4e8e\u51b3\u7b56\u6811\u7684\u96c6\u6210\u5b66\u4e60\u7b97\u6cd5\u3002\u5b83\u901a\u8fc7\u6784\u5efa\u591a\u4e2a\u51b3\u7b56\u6811\u5e76\u8fdb\u884c\u6295\u7968\u6765\u63d0\u9ad8\u9884\u6d4b\u7684\u51c6\u786e\u6027\u548c\u7a33\u5b9a\u6027\u3002\u968f\u673a\u68ee\u6797\u5728\u5904\u7406\u5206\u7c7b\u548c\u56de\u5f52\u4efb\u52a1\u65f6\u90fd\u975e\u5e38\u6709\u6548\uff0c\u5c24\u5176\u662f\u5bf9\u4e8e\u5177\u6709\u5927\u91cf\u7279\u5f81\u7684\u6570\u636e\u96c6\u3002
      \n1.7 \u6734\u7d20\u8d1d\u53f6\u65af\u7b97\u6cd5\uff08Naive Bayes\uff09\uff1a\u6734\u7d20\u8d1d\u53f6\u65af\uff08Naive Bayes\uff09\u7b97\u6cd5\u662f\u4e00\u79cd\u57fa\u4e8e\u8d1d\u53f6\u65af\u5b9a\u7406\u7684\u7b80\u5355\u6982\u7387\u5206\u7c7b\u5668\uff0c\u5b83\u5047\u8bbe\u7279\u5f81\u4e4b\u95f4\u76f8\u4e92\u72ec\u7acb\u3002\u5c3d\u7ba1\u8fd9\u79cd\u72ec\u7acb\u6027\u5047\u8bbe\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\u901a\u5e38\u4e0d\u6210\u7acb\uff0c\u4f46\u6734\u7d20\u8d1d\u53f6\u65af\u5206\u7c7b\u5668\u5728\u8bb8\u591a\u5b9e\u9645\u5e94\u7528\u4e2d\u4ecd\u7136\u975e\u5e38\u6709\u6548\u3002<\/p>\n<\/li>\n

    2. \n

      \u65e0\u76d1\u7763\u5b66\u4e60\uff1a<\/strong>\u65e0\u76d1\u7763\u5b66\u4e60\u662f\u5728\u6ca1\u6709\u6807\u6ce8\u6570\u636e\u7684\u60c5\u51b5\u4e0b\uff0c\u6a21\u578b\u9700\u8981\u81ea\u5df1\u53d1\u73b0\u6570\u636e\u7684\u7ed3\u6784\u548c\u6a21\u5f0f\u3002\u5e38\u89c1\u7684\u65e0\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5\u6709\uff1a
      \n2.1 \u805a\u7c7b\u7b97\u6cd5\uff08Clustering Algorithms\uff09\uff1a
      \n2.1.1 K-means\uff1aK-\u5e73\u5747\uff08K-Means\uff09\u7b97\u6cd5\u662f\u4e00\u79cd\u65e0\u76d1\u7763\u7684\u805a\u7c7b\u7b97\u6cd5\uff0c\u5b83\u7684\u76ee\u7684\u662f\u5c06\u76f8\u4f3c\u7684\u6570\u636e\u70b9\u5206\u7ec4\u5230\u4e00\u8d77\uff0c\u5f62\u6210\u591a\u4e2a\u7c07\uff08cluster\uff09\u3002\u7b97\u6cd5\u901a\u8fc7\u8fed\u4ee3\u8fc7\u7a0b\u6765\u4f18\u5316\u7c07\u5185\u70b9\u7684\u5747\u65b9\u8bef\u5dee\uff0c\u76f4\u5230\u8fbe\u5230\u6536\u655b\u6761\u4ef6\u3002
      \n2.1.2 \u5c42\u6b21\u805a\u7c7b
      \n2.2 \u964d\u7ef4\u7b97\u6cd5\uff1a\u964d\u7ef4\uff08Dimensionality Reduction\uff09\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u6982\u5ff5\uff0c\u5b83\u6d89\u53ca\u5230\u51cf\u5c11\u6570\u636e\u96c6\u7684\u7ef4\u6570\uff0c\u540c\u65f6\u5c3d\u53ef\u80fd\u5730\u4fdd\u7559\u6570\u636e\u4e2d\u7684\u6709\u7528\u4fe1\u606f\u3002\u964d\u7ef4\u7684\u76ee\u7684\u662f\u4e3a\u4e86\u7b80\u5316\u6a21\u578b\uff0c\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\uff0c\u51cf\u5c11\u8fc7\u62df\u5408\u7684\u98ce\u9669\uff0c\u5e76\u53ef\u80fd\u63d0\u9ad8\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u3002
      \n2.2.1 \u4e3b\u6210\u5206\u5206\u6790\uff08Principal Component Analysis, PCA\uff09\uff1a\u7528\u4e8e\u964d\u7ef4\uff0c\u63d0\u53d6\u6570\u636e\u4e2d\u6700\u91cd\u8981\u7684\u7279\u5f81\u3002
      \n2.3 \u5173\u8054\u89c4\u5219\u5b66\u4e60\uff08Association Rule Learning\uff09\uff1a\u5982Apriori\u7b97\u6cd5\uff0c\u7528\u4e8e\u53d1\u73b0\u6570\u636e\u4e2d\u7684\u5173\u8054\u5173\u7cfb\uff0c\u5e38\u7528\u4e8e\u5e02\u573a\u7bee\u5b50\u5206\u6790\u3002<\/p>\n<\/li>\n

    3. \n

      \u534a\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5\uff1a<\/strong>
      \n3.1 \u6734\u7d20\u8d1d\u53f6\u65af\u7b97\u6cd5\uff08Naive Bayes\uff09\uff1a\u867d\u7136\u901a\u5e38\u88ab\u89c6\u4e3a\u5206\u7c7b\u7b97\u6cd5\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u4e5f\u53ef\u4ee5\u7528\u4e8e\u975e\u76d1\u7763\u5b66\u4e60\uff0c\u5c24\u5176\u662f\u5728\u7279\u5f81\u9009\u62e9\u548c\u6982\u7387\u6a21\u578b\u4e2d\u3002
      \n3.2 \u68af\u5ea6\u589e\u5f3a\u7b97\u6cd5\uff08Gradient Boosting\uff09\uff1a\u68af\u5ea6\u63d0\u5347\uff08Gradient Boosting\uff09\u662f\u4e00\u79cd\u5f3a\u5927\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u7528\u4e8e\u6784\u5efa\u9884\u6d4b\u6a21\u578b\u3002\u5b83\u662f\u4e00\u79cd\u8fed\u4ee3\u7b97\u6cd5\uff0c\u901a\u8fc7\u7ec4\u5408\u591a\u4e2a\u5f31\u5b66\u4e60\u5668\uff08\u901a\u5e38\u662f\u975e\u53c2\u6570\u6216\u7b80\u5355\u6a21\u578b\uff09\u6765\u5f62\u6210\u4e00\u4e2a\u5f3a\u5927\u7684\u9884\u6d4b\u6a21\u578b\u3002\u867d\u7136\u901a\u5e38\u7528\u4e8e\u76d1\u7763\u5b66\u4e60\uff0c\u4f46\u4e5f\u53ef\u4ee5\u7528\u4e8e\u975e\u76d1\u7763\u5b66\u4e60\u4efb\u52a1\uff0c\u5982\u6392\u540d\u548c\u5f02\u5e38\u68c0\u6d4b\u3002<\/p>\n<\/li>\n

    4. \n

      \u5f3a\u5316\u5b66\u4e60\uff1a<\/strong>\u5f3a\u5316\u5b66\u4e60\u662f\u4e00\u79cd\u901a\u8fc7\u4e0e\u73af\u5883\u4ea4\u4e92\u6765\u5b66\u4e60\u7b56\u7565\u7684\u7b97\u6cd5\u3002\u6a21\u578b\u901a\u8fc7\u8bd5\u9519\u65b9\u5f0f\uff0c\u4e0d\u65ad\u8c03\u6574\u5176\u7b56\u7565\u4ee5\u83b7\u5f97\u6700\u5927\u5316\u7684\u5956\u52b1\u3002\u5178\u578b\u5e94\u7528\u5305\u62ec\u6e38\u620fAI\u3001\u673a\u5668\u4eba\u63a7\u5236\u7b49\u3002\u4e3b\u8981\u65b9\u6cd5\u5305\u62ec\uff1a
      \n4.1 Q-learning\uff1a\u901a\u8fc7\u66f4\u65b0Q\u503c\u8868\u683c\u6765\u5b66\u4e60\u6700\u4f18\u7b56\u7565\u3002
      \n4.2 \u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\uff08Deep Reinforcement Learning\uff09\uff1a\u7ed3\u5408\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\uff0c\u5982\u6df1\u5ea6Q\u7f51\u7edc\uff08DQN\uff09\uff0c\u7528\u4e8e\u5904\u7406\u590d\u6742\u7684\u9ad8\u7ef4\u5ea6\u95ee\u9898\u3002<\/p>\n<\/li>\n<\/ol>\n

      \n

      4.\u611f\u77e5\u673a\u4e0e\u795e\u7ecf\u7f51\u7edc\u7684\u5173\u7cfb\uff1f<\/h3>\n

      \u901a\u8fc7\u628a\u4eba\u5de5\u795e\u7ecf\u5143\uff08\u611f\u77e5\u673a\uff09\u7ec4\u5408\u8d77\u6765\u4ece\u800c\u83b7\u5f97\u66f4\u5f3a\u5927\u7684\u5206\u7c7b\u80fd\u529b\uff0c\u795e\u7ecf\u5143\u53ef\u4ee5\u7ec4\u6210\u201c\u5c42\u201d\uff0c\u66f4\u591a\u7684\u201c\u5c42\u201d\u53c8\u7ec4\u6210\u4e86\u6240\u8c13\u7684\u201c\u795e\u7ecf\u7f51\u7edc\u201d\uff08\u591a\u5c42\u611f\u77e5\u673a\u7684\u8fdb\u9636\uff09\uff0c\u795e\u7ecf\u7f51\u7edc\u7684\u5c42\u8d8a\u591a\uff0c\u611f\u77e5\u80fd\u529b\u8d8a\u5f3a\uff0c\u8d8a\u5b66\u8d8a\u6df1\uff0c\u5373\u79f0\u4e4b\u4e3a\u201c\u6df1\u5ea6\u5b66\u4e60\u201d\uff0c\u5176\u5b9e\u5c31\u662f\u901a\u8fc7\u201c\u5b66\u4e60\u201d\u8c03\u6574\u201c\u53c2\u6570\u201d\uff0c\u8ba9\u6a21\u578b\u7684\u8f93\u51fa\u79bb\u7ed9\u5b9a\u7684\u76ee\u6807\u8d8a\u6765\u8d8a\u8fd1\u3002<\/p>\n

      \n

      5.\u6df1\u5ea6\u5b66\u4e60\u7684\u6838\u5fc3\u2014\u2014\u795e\u7ecf\u7f51\u7edc\u662f\u4ec0\u4e48\uff1f<\/h3>\n

      \u6df1\u5ea6\u5b66\u4e60\u662f\u673a\u5668\u5b66\u4e60\u7684\u4e00\u4e2a\u5b50\u9886\u57df\uff0c\u5b83\u53d7\u5230\u4eba\u8111\u4e2d\u795e\u7ecf\u7f51\u7edc\u7684\u542f\u53d1\uff0c\u901a\u8fc7\u6784\u5efa\u201c\u6df1\u5c42\u201d\u7684\u795e\u7ecf\u7f51\u7edc\u6765\u6a21\u62df\u4eba\u7c7b\u5b66\u4e60\u7684\u8fc7\u7a0b\u3002\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7531\u591a\u4e2a\u5904\u7406\u5c42\u7ec4\u6210\uff0c\u8fd9\u4e9b\u5c42\u53ef\u4ee5\u81ea\u52a8\u5b66\u4e60\u6570\u636e\u7684\u591a\u5c42\u6b21\u7279\u5f81\uff0c\u65e0\u9700\u4eba\u5de5\u5e72\u9884\u3002<\/p>\n

        \n
      1. \u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08Convolutional Neural Network, CNN\uff09\uff1a\u5373\u6307\u5e76\u975e\u6bcf\u4e00\u5c42\u7684\u611f\u77e5\u673a\u4e0d\u9700\u8981\u548c\u524d\u4e00\u5c42\u7684\u6240\u6709\u611f\u77e5\u673a\u5168\u90fd\u7a20\u5bc6\u7684\u8fde\u63a5\uff0c\u800c\u53ea\u9700\u8981\u548c\u5c40\u90e8\u7684\u51e0\u4e2a\u611f\u77e5\u673a\u8fde\u63a5\uff0c\u800c\u4e14\u6bcf\u4e00\u4e2a\u611f\u77e5\u673a\u548c\u524d\u4e00\u5c42\u8fde\u63a5\u7684\u53c2\u6570\u548c\u7ed3\u6784\u53c8\u90fd\u662f\u7c7b\u4f3c\u7684\uff0c\u8fd9\u6837\u53ef\u4ee5\u51cf\u5c11\u53c2\u6570\u548c\u8fd0\u7b97\u91cf\uff0c\u4ece\u800c\u63d0\u5347\u795e\u7ecf\u7f51\u7edc\u7684\u6027\u80fd\u3002CNN\u5e7f\u6cdb\u5e94\u7528\u4e8e\u56fe\u50cf\u8bc6\u522b\u548c\u5904\u7406\u3002<\/li>\n
      2. \u5faa\u73af\u795e\u7ecf\u7f51\u7edc\uff08Rerrent Neural Network, RNN\uff09\uff1aRNN\u5bf9\u5177\u6709\u5e8f\u5217\u7279\u6027\u7684\u6570\u636e\u975e\u5e38\u6709\u6548\uff0c\u5b83\u80fd\u6316\u6398\u6570\u636e\u4e2d\u7684\u65f6\u5e8f\u4fe1\u606f\u4ee5\u53ca\u8bed\u4e49\u4fe1\u606f<\/li>\n
      3. \u751f\u6210\u5bf9\u6297\u7f51\u7edc\uff08Generative Adversarial Networks, GAN\uff09\uff1a\u7531\u4e24\u4e2a\u7f51\u7edc\u7ec4\u6210\uff0c\u4e00\u4e2a\u751f\u6210\u6570\u636e\uff0c\u53e6\u4e00\u4e2a\u8bc4\u4f30\u6570\u636e\uff0c\u5e38\u7528\u4e8e\u56fe\u50cf\u751f\u6210\u548c\u98ce\u683c\u8f6c\u6362\u3002<\/li>\n
      4. \u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff08Artificial Neural Networks, ANN\uff09:<\/li>\n<\/ol>\n
        \n

        \u53c2\u8003\u94fe\u63a5<\/h3>\n

        https:\/\/blog.csdn.net\/qq_52213943\/article\/details\/135115245<\/a>
        \n        https:\/\/blog.csdn.net\/weixin_69553582\/article\/details\/131406297<\/a>
        \n        https:\/\/blog.csdn.net\/weixin_42132035\/article\/details\/140237091<\/a>
        \n        https:\/\/blog.csdn.net\/Like_July_moon\/article\/details\/136750962<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

        1.\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u5b9a\u4e49\u4e0e\u5dee\u522b \u673a\u5668\u5b66\u4e60\uff1a\u662f\u4e00\u79cd\u4eba\u5de5\u667a\u80fd\u6280\u672f\uff0c\u5728\u7ed9\u5b9a\u6570\u636e\u96c6\u7684\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u81ea\u52a8\u5b66\u4e60\u6a21\u5f0f\u5e76\u4f7f\u7528…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-323","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.kz-hub.tech\/index.php\/wp-json\/wp\/v2\/posts\/323","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kz-hub.tech\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kz-hub.tech\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kz-hub.tech\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kz-hub.tech\/index.php\/wp-json\/wp\/v2\/comments?post=323"}],"version-history":[{"count":23,"href":"https:\/\/www.kz-hub.tech\/index.php\/wp-json\/wp\/v2\/posts\/323\/revisions"}],"predecessor-version":[{"id":349,"href":"https:\/\/www.kz-hub.tech\/index.php\/wp-json\/wp\/v2\/posts\/323\/revisions\/349"}],"wp:attachment":[{"href":"https:\/\/www.kz-hub.tech\/index.php\/wp-json\/wp\/v2\/media?parent=323"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kz-hub.tech\/index.php\/wp-json\/wp\/v2\/categories?post=323"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kz-hub.tech\/index.php\/wp-json\/wp\/v2\/tags?post=323"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}