{"id":4365,"date":"2026-03-04T23:16:45","date_gmt":"2026-03-04T15:16:45","guid":{"rendered":"https:\/\/ai.ziyuanzz.online\/?page_id=4365"},"modified":"2026-03-28T11:27:41","modified_gmt":"2026-03-28T03:27:41","slug":"ml-for-beginners","status":"publish","type":"page","link":"https:\/\/ai.ziyuanzz.online\/index.php\/ml-for-beginners\/","title":{"rendered":"ML for Beginners"},"content":{"rendered":"
\n
\"\"<\/figure>\n<\/div>\n\n\n

ML for Beginners<\/h2>\n\n\n\n

\u5fae\u8f6f\u63a8\u51fa\u7684\u514d\u8d39\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b\uff0cGitHub\u6807\u661f7\u4e07+<\/p>\n\n\n\n

\n
\u8bbf\u95ee\u5b98\u7f51 ><\/a><\/div>\n<\/div>\n\n\n\n

\u76f8\u5173\u94fe\u63a5: GitHub\u9879\u76ee\u5730\u5740<\/a><\/p>\n\n\n\n

<\/div>\n\n\n\n
\"\"<\/figure>\n\n\n\n
<\/div>\n\n\n\n

ML for Beginners\u662f\u4ec0\u4e48<\/h2>\n\n\n\n

ML for Beginners\uff08Machine Learning for Beginners\uff09\u662f\u5fae\u8f6f\u63a8\u51fa\u7684\u9762\u5411\u521d\u5b66\u8005\u768412\u5468\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b\u3002ML for Beginners\u5305\u542b26\u8bfe\uff0c\u6db5\u76d6\u7ecf\u5178\u673a\u5668\u5b66\u4e60\u6280\u672f\uff0c\u4e3b\u8981\u4f7f\u7528Scikit-learn<\/a>\u5e93\u3002\u8bfe\u7a0b\u7ed3\u5408\u5168\u7403\u6587\u5316\u6570\u636e\uff0c\u91c7\u7528\u9879\u76ee\u9a71\u52a8\u6559\u5b66\u6cd5\uff0c\u6bcf\u8bfe\u5305\u62ec\u9884\u4e60\u6d4b\u9a8c\u3001\u4e66\u9762\u6307\u5bfc\u3001\u89e3\u51b3\u65b9\u6848\u3001\u4f5c\u4e1a\u7b49\u3002\u8bfe\u7a0b\u5185\u5bb9\u4ece\u57fa\u7840\u6982\u5ff5\u5230\u56de\u5f52\u3001\u5206\u7c7b\u3001\u805a\u7c7b\u3001\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7b49\u4e3b\u9898\uff0c\u9010\u6b65\u6df1\u5165\u3002ML for Beginners\u63d0\u4f9b\u89c6\u9891\u6559\u7a0b\u3001\u9879\u76ee\u6307\u5357\u548c\u6d4b\u9a8c\u5e94\u7528\uff0c\u5e2e\u52a9\u5b66\u4e60\u8005\u5728\u5b9e\u8df5\u4e2d\u638c\u63e1\u77e5\u8bc6\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

ML for Beginners\u7684\u4e3b\u8981\u529f\u80fd<\/h2>\n\n\n\n
    \n
  • \u7cfb\u7edf\u5b66\u4e60\u8def\u5f84<\/strong>\uff1a\u63d0\u4f9b12\u5468\u300126\u8bfe\u7684\u5b8c\u6574\u5b66\u4e60\u8ba1\u5212\uff0c\u6db5\u76d6\u673a\u5668\u5b66\u4e60\u57fa\u7840\u5230\u9ad8\u7ea7\u4e3b\u9898\uff0c\u9002\u5408\u521d\u5b66\u8005\u9010\u6b65\u6df1\u5165\u3002<\/li>\n\n\n\n
  • \u5b9e\u8df5\u9a71\u52a8<\/strong>\uff1a\u6bcf\u8bfe\u5305\u542b\u5b9e\u9645\u9879\u76ee\u548c\u4ee3\u7801\u793a\u4f8b\uff0c\u901a\u8fc7\u52a8\u624b\u5b9e\u8df5\u5e2e\u52a9\u5b66\u751f\u5de9\u56fa\u77e5\u8bc6\u3002<\/li>\n\n\n\n
  • \u4e92\u52a8\u5b66\u4e60<\/strong>\uff1a\u5305\u542b\u9884\u4e60\u6d4b\u9a8c\u3001\u540e\u6d4b\u9a8c\u548c\u77e5\u8bc6\u68c0\u67e5\uff0c\u7528\u4e92\u52a8\u65b9\u5f0f\u589e\u5f3a\u5b66\u4e60\u6548\u679c\u3002<\/li>\n\n\n\n
  • \u591a\u5a92\u4f53\u652f\u6301<\/strong>\uff1a\u63d0\u4f9b\u89c6\u9891\u6559\u7a0b\u3001\u63d2\u56fe\u548c\u793a\u610f\u56fe\uff0c\u8f85\u52a9\u7406\u89e3\u590d\u6742\u6982\u5ff5\uff0c\u63d0\u5347\u5b66\u4e60\u4f53\u9a8c\u3002<\/li>\n\n\n\n
  • \u793e\u533a\u652f\u6301<\/strong>\uff1a\u8bbe\u6709\u8ba8\u8bba\u677f\u548c\u8fdb\u5ea6\u8bc4\u4f30\u5de5\u5177\uff0c\u4fc3\u8fdb\u5b66\u751f\u4ea4\u6d41\u548c\u81ea\u6211\u53cd\u601d\u3002<\/li>\n\n\n\n
  • \u7075\u6d3b\u5b66\u4e60<\/strong>\uff1a\u652f\u6301\u672c\u5730\u8fd0\u884c\u6587\u6863\u548c\u4ee3\u7801\uff0c\u63d0\u4f9bPython\u548cR\u8bed\u8a00\u7248\u672c\uff0c\u6ee1\u8db3\u4e0d\u540c\u5b66\u4e60\u9700\u6c42\u3002<\/li>\n\n\n\n
  • \u6269\u5c55\u5b66\u4e60<\/strong>\uff1a\u94fe\u63a5Microsoft Learn\u6a21\u5757\uff0c\u63a2\u8ba8\u73b0\u5b9e\u4e16\u754c\u5e94\u7528\uff0c\u4e3a\u5b66\u751f\u63d0\u4f9b\u66f4\u6df1\u5165\u7684\u5b66\u4e60\u8d44\u6e90\u3002<\/li>\n<\/ul>\n\n\n\n

    ML for Beginners\u7684\u8bfe\u7a0b<\/h2>\n\n\n\n
      \n
    • \u673a\u5668\u5b66\u4e60\u7b80\u4ecb<\/strong>\uff1a\u4e86\u89e3\u673a\u5668\u5b66\u4e60\u7684\u57fa\u672c\u6982\u5ff5\u3001\u5b9a\u4e49\u548c\u5e94\u7528\u573a\u666f\u3002<\/li>\n\n\n\n
    • \u673a\u5668\u5b66\u4e60\u7684\u5386\u53f2<\/strong>\uff1a\u5b66\u4e60\u673a\u5668\u5b66\u4e60\u7684\u53d1\u5c55\u5386\u7a0b\uff0c\u4e86\u89e3\u5176\u5386\u53f2\u80cc\u666f\u548c\u91cd\u8981\u91cc\u7a0b\u7891\u3002<\/li>\n\n\n\n
    • \u673a\u5668\u5b66\u4e60\u4e2d\u7684\u516c\u5e73\u6027<\/strong>\uff1a\u63a2\u8ba8\u5728\u6784\u5efa\u548c\u5e94\u7528\u673a\u5668\u5b66\u4e60\u6a21\u578b\u65f6\u9700\u8981\u8003\u8651\u7684\u516c\u5e73\u6027\u54f2\u5b66\u95ee\u9898\u3002<\/li>\n\n\n\n
    • \u673a\u5668\u5b66\u4e60\u6280\u672f<\/strong>\uff1a\u4e86\u89e3\u673a\u5668\u5b66\u4e60\u7814\u7a76\u8005\u7528\u4e8e\u6784\u5efa\u6a21\u578b\u7684\u6280\u672f\u548c\u65b9\u6cd5\u3002<\/li>\n\n\n\n
    • \u56de\u5f52\u5206\u6790\u5165\u95e8<\/strong>\uff1a\u5b66\u4e60\u4f7f\u7528Python\u548cScikit-learn\u8fdb\u884c\u56de\u5f52\u6a21\u578b\u7684\u57fa\u7840\u77e5\u8bc6\u3002<\/li>\n\n\n\n
    • \u5317\u7f8e\u5357\u74dc\u4ef7\u683c<\/strong>\uff1a\u5b66\u4e60\u6570\u636e\u53ef\u89c6\u5316\u548c\u6e05\u7406\uff0c\u4e3a\u673a\u5668\u5b66\u4e60\u505a\u51c6\u5907\u3002<\/li>\n\n\n\n
    • \u5317\u7f8e\u5357\u74dc\u4ef7\u683c<\/strong>\uff1a\u6784\u5efa\u7ebf\u6027\u548c\u591a\u9879\u5f0f\u56de\u5f52\u6a21\u578b\u3002<\/li>\n\n\n\n
    • \u5317\u7f8e\u5357\u74dc\u4ef7\u683c<\/strong>\uff1a\u6784\u5efa\u903b\u8f91\u56de\u5f52\u6a21\u578b\u3002<\/li>\n\n\n\n
    • Web\u5e94\u7528<\/strong>\uff1a\u5b66\u4e60\u5982\u4f55\u6784\u5efa\u4e00\u4e2aWeb\u5e94\u7528\u6765\u4f7f\u7528\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u3002<\/li>\n\n\n\n
    • \u5206\u7c7b\u5165\u95e8<\/strong>\uff1a\u5b66\u4e60\u6570\u636e\u6e05\u7406\u3001\u53ef\u89c6\u5316\u4ee5\u53ca\u5206\u7c7b\u7684\u57fa\u7840\u77e5\u8bc6\u3002<\/li>\n\n\n\n
    • \u4e9a\u6d32\u548c\u5370\u5ea6\u7f8e\u98df<\/strong>\uff1a\u5b66\u4e60\u5206\u7c7b\u5668\u7684\u57fa\u7840\u77e5\u8bc6\u3002<\/li>\n\n\n\n
    • \u4e9a\u6d32\u548c\u5370\u5ea6\u7f8e\u98df<\/strong>\uff1a\u5b66\u4e60\u66f4\u591a\u5206\u7c7b\u5668\u7684\u4f7f\u7528\u3002<\/li>\n\n\n\n
    • \u4e9a\u6d32\u548c\u5370\u5ea6\u7f8e\u98df<\/strong>\uff1a\u4f7f\u7528\u6a21\u578b\u6784\u5efa\u63a8\u8350\u7cfb\u7edfWeb\u5e94\u7528\u3002<\/li>\n\n\n\n
    • \u805a\u7c7b\u5165\u95e8<\/strong>\uff1a\u5b66\u4e60\u6570\u636e\u6e05\u7406\u3001\u53ef\u89c6\u5316\u4ee5\u53ca\u805a\u7c7b\u7684\u57fa\u7840\u77e5\u8bc6\u3002<\/li>\n\n\n\n
    • \u63a2\u7d22\u5c3c\u65e5\u5229\u4e9a\u97f3\u4e50\u54c1\u5473<\/strong>\uff1a\u63a2\u7d22K-Means\u805a\u7c7b\u65b9\u6cd5\u3002<\/li>\n\n\n\n
    • \u81ea\u7136\u8bed\u8a00\u5904\u7406\u5165\u95e8<\/strong>\uff1a\u901a\u8fc7\u6784\u5efa\u7b80\u5355\u804a\u5929\u673a\u5668\u4eba\u5b66\u4e60\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7684\u57fa\u7840\u77e5\u8bc6\u3002<\/li>\n\n\n\n
    • \u5e38\u89c1NLP\u4efb\u52a1<\/strong>\uff1a\u6df1\u5165\u5b66\u4e60\u5904\u7406\u8bed\u8a00\u7ed3\u6784\u65f6\u6240\u9700\u7684\u5e38\u89c1\u4efb\u52a1\u3002<\/li>\n\n\n\n
    • \u7ffb\u8bd1\u548c\u60c5\u611f\u5206\u6790<\/strong>\uff1a\u5b66\u4e60\u7ffb\u8bd1\u548c\u60c5\u611f\u5206\u6790\uff0c\u4ee5\u7b80\u00b7\u5965\u65af\u6c40\u7684\u4f5c\u54c1\u4e3a\u4f8b\u3002<\/li>\n\n\n\n
    • \u6b27\u6d32\u6d6a\u6f2b\u9152\u5e97<\/strong>\uff1a\u4f7f\u7528\u9152\u5e97\u8bc4\u8bba\u8fdb\u884c\u60c5\u611f\u5206\u6790\u3002<\/li>\n\n\n\n
    • \u6b27\u6d32\u6d6a\u6f2b\u9152\u5e97<\/strong>\uff1a\u6df1\u5165\u5b66\u4e60\u60c5\u611f\u5206\u6790\uff0c\u7ee7\u7eed\u4f7f\u7528\u9152\u5e97\u8bc4\u8bba\u6570\u636e\u3002<\/li>\n\n\n\n
    • \u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u5165\u95e8<\/strong>\uff1a\u5b66\u4e60\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u7684\u57fa\u7840\u77e5\u8bc6\u3002<\/li>\n\n\n\n
    • \u5168\u7403\u7535\u529b\u4f7f\u7528<\/strong>\uff1a\u4f7f\u7528ARIMA\u8fdb\u884c\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u3002<\/li>\n\n\n\n
    • \u5168\u7403\u7535\u529b\u4f7f\u7528<\/strong>\uff1a\u4f7f\u7528\u652f\u6301\u5411\u91cf\u56de\u5f52\u5668\uff08SVR\uff09\u8fdb\u884c\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u3002<\/li>\n\n\n\n
    • \u5f3a\u5316\u5b66\u4e60\u5165\u95e8<\/strong>\uff1a\u5b66\u4e60\u4f7f\u7528Q-Learning\u8fdb\u884c\u5f3a\u5316\u5b66\u4e60\u3002<\/li>\n\n\n\n
    • \u5e2e\u52a9\u5f7c\u5f97\u907f\u5f00\u72fc<\/strong>\uff1a\u901a\u8fc7\u5f3a\u5316\u5b66\u4e60Gym\u73af\u5883\uff0c\u5b9e\u8df5\u5f3a\u5316\u5b66\u4e60\u3002<\/li>\n\n\n\n
    • \u540e\u8bb0<\/strong>\uff1a\u63a2\u8ba8\u673a\u5668\u5b66\u4e60\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\u7684\u5e94\u7528\uff0c\u4e86\u89e3\u6a21\u578b\u8c03\u8bd5\u5de5\u5177\u3002<\/li>\n<\/ul>\n\n\n\n

      ML for Beginners\u7684\u5e94\u7528\u573a\u666f<\/h2>\n\n\n\n
        \n
      • \u7528\u6237\u5174\u8da3\u805a\u7c7b<\/strong>\uff1a\u501f\u52a9\u805a\u7c7b\u7b97\u6cd5\u5206\u6790\u7528\u6237\u5174\u8da3\uff0c\u52a9\u529b\u4f01\u4e1a\u7cbe\u51c6\u8425\u9500\u548c\u4ea7\u54c1\u63a8\u8350\u3002<\/li>\n\n\n\n
      • \u60c5\u611f\u5206\u6790<\/strong>\uff1a\u8fd0\u7528\u81ea\u7136\u8bed\u8a00\u5904\u7406\u6280\u672f\u5206\u6790\u9152\u5e97\u8bc4\u8bba\u7b49\u6587\u672c\u6570\u636e\u7684\u60c5\u611f\u503e\u5411\uff0c\u4e3a\u5546\u5bb6\u4f18\u5316\u670d\u52a1\u63d0\u4f9b\u53c2\u8003\u3002<\/li>\n\n\n\n
      • \u7535\u529b\u9700\u6c42\u9884\u6d4b<\/strong>\uff1a\u51ed\u501f\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u6a21\u578b\u9884\u4f30\u7535\u529b\u9700\u6c42\uff0c\u52a9\u529b\u7535\u529b\u90e8\u95e8\u5408\u7406\u89c4\u5212\u8d44\u6e90\u5206\u914d\u3002<\/li>\n\n\n\n
      • \u667a\u80fd\u4f53\u51b3\u7b56<\/strong>\uff1a\u501f\u52a9\u5f3a\u5316\u5b66\u4e60\u8bad\u7ec3\u667a\u80fd\u4f53\uff0c\u4f7f\u5176\u80fd\u591f\u5728\u590d\u6742\u73af\u5883\u4e2d\u81ea\u4e3b\u51b3\u7b56\uff0c\u5982\u673a\u5668\u4eba\u5bfc\u822a\u548c\u6e38\u620fAI\u3002<\/li>\n\n\n\n
      • \u533b\u7597\u8bca\u65ad\u8f85\u52a9<\/strong>\uff1a\u5e94\u7528\u5728\u533b\u7597\u9886\u57df\uff0c\u8f85\u52a9\u533b\u751f\u8fdb\u884c\u75be\u75c5\u8bca\u65ad\uff0c\u63d0\u9ad8\u8bca\u65ad\u7684\u51c6\u786e\u6027\u548c\u6548\u7387\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

        ML for Beginners \u5fae\u8f6f\u63a8\u51fa\u7684\u514d\u8d39\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u8bfe\u7a0b\uff0cGitHub\u6807\u661f7\u4e07+ \u76f8\u5173\u94fe\u63a5: Git […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-4365","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/pages\/4365","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/comments?post=4365"}],"version-history":[{"count":0,"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/pages\/4365\/revisions"}],"wp:attachment":[{"href":"https:\/\/ai.ziyuanzz.online\/index.php\/wp-json\/wp\/v2\/media?parent=4365"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}