{"id":1312,"date":"2022-02-26T14:43:43","date_gmt":"2022-02-26T06:43:43","guid":{"rendered":"http:\/\/www.zyhcoding.club\/?p=1312"},"modified":"2022-05-06T19:43:57","modified_gmt":"2022-05-06T11:43:57","slug":"%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0","status":"publish","type":"post","link":"http:\/\/www.zyhcoding.club\/index.php\/2022\/02\/26\/%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0\/","title":{"rendered":"\u673a\u5668\u5b66\u4e60"},"content":{"rendered":"

\u673a\u5668\u5b66\u4e60(Machine Learning)<\/h3>\n

\u673a\u5668\u5b66\u4e60\u662f\u4e00\u95e8\u591a\u9886\u57df\u4ea4\u53c9\u5b66\u79d1\uff0c\u6d89\u53ca\u6982\u7387\u8bba\u3001\u7edf\u8ba1\u5b66\u3001\u903c\u8fd1\u8bba\u3001\u51f8\u5206\u7b97\u6cd5\u590d\u6742\u5ea6\u7406\u8bba\u7b49\u591a\u95e8\u5b66\u79d1\u3002\u4e13\u95e8\u7814\u7a76\u8ba1\u7b97\u673a\u600e\u6837\u6a21\u62df\u6216\u5b9e\u73b0\u4eba\u7c7b\u7684\u5b66\u4e60\u884c\u4e3a\uff0c\u4ee5\u83b7\u53d6\u65b0\u7684\u77e5\u8bc6\u6216\u6280\u80fd\uff0c\u91cd\u65b0\u7ec4\u7ec7\u5df2\u6709\u7684\u77e5\u8bc6\u7ed3\u6784\u4f7f\u4e4b\u4e0d\u65ad\u6539\u5584\u81ea\u8eab\u7684\u6027\u80fd\u3002<\/p>\n

\n

Machine Learning: A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.
\n\u5b83\u80fd\u591f\u9488\u5bf9\u67d0\u4e2a\u4efb\u52a1T\u548c\u67d0\u4e2a\u6027\u80fd\u6307\u6807P\uff0c\u4ece\u7ecf\u9a8cE\u4e2d\u5b66\u4e60\u3002\u8fd9\u79cd\u5b66\u4e60\u7684\u7279\u70b9\u662f\uff0c\u5b83\u5728T\u4e0a\u7684\u88abP\u6240\u8861\u91cf\u7684\u6027\u80fd\uff0c\u4f1a\u968f\u7740\u7ecf\u9a8cE\u7684\u589e\u52a0\u800c\u63d0\u9ad8\u3002<\/p>\n<\/blockquote>\n

\u673a\u5668\u5b66\u4e60\u5206\u7c7b<\/strong>
\n1.\u6839\u636e\u662f\u5426\u9700\u8981\u548c\u73af\u5883\u4ea4\u4e92\u83b7\u5f97\u7ecf\u9a8c\uff1a\u76d1\u7763\u5b66\u4e60(supervised learning)\u3001\u5f3a\u5316\u5b66\u4e60(reinforcement learning)
\n2.\u6309\u7167\u8bad\u7ec3\u6570\u636e\u662f\u5426\u5b58\u5728\u6807\u7b7e\u5c06\u76d1\u7763\u5b66\u4e60\u5206\u7c7b\uff1a\u4f20\u7edf\u76d1\u7763\u5b66\u4e60\u3001\u975e\u76d1\u7763\u5b66\u4e60(\u6ca1\u6709\u6807\u7b7e\u7684\u673a\u5668\u5b66\u4e60)\u3001\u534a\u76d1\u7763\u5b66\u4e60
\n\u4f20\u7edf\u76d1\u7763\u5b66\u4e60\uff1a\u652f\u6301\u5411\u91cf\u673a(SVM)\u3001\u4eba\u5de5\u667a\u80fd\u7f51\u8054(NN)\u3001\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc(DNN)
\n\u975e\u76d1\u7763\u5b66\u4e60\uff1a\u805a\u7c7b(clustering)\u3001EM\u7b97\u6cd5(Expectation-Maximization)\u3001\u4e3b\u6210\u5206\u5206\u6790
\n\u534a\u76d1\u7763\u5b66\u4e60\uff1a\u5c11\u91cf\u7684\u6807\u6ce8\u6570\u636e\u548c\u5927\u91cf\u7684\u672a\u6807\u6ce8\u6570\u636e\u5171\u540c\u8bad\u7ec3\u4e00\u4e2a\u7b97\u6cd5\u3002<\/p>\n

3.\u6839\u636e\u6807\u7b7e\u7684\u56fa\u6709\u5c5e\u6027\u5c06\u673a\u5668\u5b66\u4e60\u5206\u4e3a\uff1a<\/p>\n

\n

\u5206\u7c7b(classification)\uff1a\u6807\u7b7e\u662f\u79bb\u6563\u7684\u503c\u3002\u4f8b\u5982\u4eba\u8138\u8bc6\u522b\u3002\u8bfe\u7a0b\u4e3b\u8981\u5185\u5bb9\u662f\u5229\u7528\u673a\u5668\u5b66\u4e60\u89e3\u51b3\u5206\u7c7b\u95ee\u9898\u3002
\n\u56de\u5f52(regression)\uff1a\u6807\u7b7e\u662f\u8fde\u7eed\u7684\u503c\u3002\u4f8b\u5982\u9884\u6d4b\u623f\u4ef7\u3001\u80a1\u5e02\u9884\u6d4b\u3001\u6e29\u5ea6\u9884\u6d4b<\/p>\n<\/blockquote>\n

\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7684\u8fc7\u7a0b<\/strong><\/p>\n

    \n
  1. \u7279\u5f81\u63d0\u53d6(Feature EXtraction)\uff1a\u901a\u8fc7\u8bad\u7ec3\u6837\u672c\u83b7\u5f97\u7684\uff0c\u5bf9\u673a\u5668\u5b66\u4e60\u4efb\u52a1\u6709\u6240\u5e2e\u52a9\u7684\u591a\u7ef4\u5ea6\u6570\u636e\u3002\u8fd9\u4e0d\u662f\u673a\u5668\u5b66\u4e60\u7684\u91cd\u70b9\uff0c\u4f46\u5374\u662f\u6574\u4e2a\u7cfb\u7edf\u7684\u91cd\u70b9\uff0c\u63d0\u53d6\u4e86\u597d\u7684\u7279\u5f81\uff0c\u4e5f\u80fd\u83b7\u5f97\u4e0d\u9519\u7684\u6027\u80fd\u3002\u63d0\u53d6\u7684\u7279\u5f81\u548c\u65b9\u5f0f\u6839\u636e\u4e0d\u540c\u7684\u4efb\u52a1\u800c\u5b9a\u3002
    \n\u673a\u5668\u5b66\u4e60\u7684\u91cd\u70b9\u662f\u5047\u8bbe\u5728\u63d0\u53d6\u597d\u7279\u5f81\u7684\u524d\u63d0\u4e0b\uff0c\u5982\u4f55\u6784\u9020\u7b97\u6cd5\u83b7\u5f97\u66f4\u597d\u7684\u6027\u80fd\u3002<\/li>\n
  2. \u7279\u5f81\u9009\u62e9(Feature Selection)\uff1a\u5bf9\u63d0\u53d6\u7684\u7279\u5f81\u8fdb\u884c\u53d6\u820d\u3002\u6700\u540e\u6240\u9009\u62e9\u7684\u7279\u5f81\u96c6\u6784\u6210\u4e00\u4e2a\u7279\u5f81\u7a7a\u95f4\u3002<\/li>\n
  3. \u57fa\u4e8e\u9009\u62e9\u7684\u7279\u5f81\u6765\u6784\u5efa\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u662f\u673a\u5668\u5b66\u4e60\u7684\u91cd\u70b9*\u3002<\/li>\n<\/ol>\n

    \u7ef4\u5ea6\u548c\u6807\u51c6\u3002\u7ef4\u5ea6\uff1a\u7279\u5f81\u7a7a\u95f4\u7684\u7ef4\u5ea6\uff0c\u76f8\u5f53\u4e8e\u63d0\u53d6\u7684\u7279\u5f81\u7684\u4e2a\u6570\u3002\u6807\u51c6\uff1a\u4e0d\u540c\u7684\u7b97\u6cd5\u5bf9\u7279\u5f81\u7a7a\u95f4\u505a\u4e0d\u540c\u7684\u5212\u5206\uff0c\u83b7\u5f97\u4e0d\u540c\u7684\u7ed3\u679c\u3002<\/p>\n

    \u6ca1\u6709\u514d\u8d39\u5348\u9910\u5b9a\u7406\uff1a\u5982\u679c\u67d0\u79cd\u5b66\u4e60\u7b97\u6cd5\u5728\u67d0\u4e9b\u65b9\u9762\u6bd4\u53e6\u4e00\u79cd\u5b66\u4e60\u7b97\u6cd5\u66f4\u4f18\uff0c\u5219\u80af\u5b9a\u4f1a\u5728\u5176\u5b83\u67d0\u4e9b\u65b9\u9762\u5f31\u4e8e\u53e6\u4e00\u79cd\u5b66\u4e60\u7b97\u6cd5\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u5bf9\u4e8e\u4efb\u4f55\u4e00\u4e2a\u5b66\u4e60\u95ee\u9898\uff0c\u6ca1\u6709\u6700\u4f18\u7684\u7b97\u6cd5\uff0c\u53ea\u6709\u6700\u5408\u9002\u7684\u7b97\u6cd5\u3002
    \n\u673a\u5668\u5b66\u4e60\u7684\u672c\u8d28<\/strong>\uff1a\u901a\u8fc7\u6709\u9650\u7684\u5df2\u77e5\u6570\u636e\uff0c\u5728\u590d\u6742\u7684\u9ad8\u7ef4\u7279\u5f81\u7a7a\u95f4\u4e2d\u9884\u6d4b\u672a\u77e5\u7684\u6837\u672c\u3002<\/p>\n

    MP\u6a21\u578b<\/h5>\n","protected":false},"excerpt":{"rendered":"

    \u673a\u5668\u5b66\u4e60(Machine Learning) \u673a\u5668\u5b66\u4e60\u662f\u4e00\u95e8\u591a\u9886\u57df\u4ea4\u53c9\u5b66\u79d1\uff0c\u6d89\u53ca\u6982\u7387\u8bba\u3001\u7edf\u8ba1\u5b66\u3001\u903c\u8fd1 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[74],"tags":[],"_links":{"self":[{"href":"http:\/\/www.zyhcoding.club\/index.php\/wp-json\/wp\/v2\/posts\/1312"}],"collection":[{"href":"http:\/\/www.zyhcoding.club\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.zyhcoding.club\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.zyhcoding.club\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.zyhcoding.club\/index.php\/wp-json\/wp\/v2\/comments?post=1312"}],"version-history":[{"count":11,"href":"http:\/\/www.zyhcoding.club\/index.php\/wp-json\/wp\/v2\/posts\/1312\/revisions"}],"predecessor-version":[{"id":1474,"href":"http:\/\/www.zyhcoding.club\/index.php\/wp-json\/wp\/v2\/posts\/1312\/revisions\/1474"}],"wp:attachment":[{"href":"http:\/\/www.zyhcoding.club\/index.php\/wp-json\/wp\/v2\/media?parent=1312"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.zyhcoding.club\/index.php\/wp-json\/wp\/v2\/categories?post=1312"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.zyhcoding.club\/index.php\/wp-json\/wp\/v2\/tags?post=1312"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}