{"id":831,"date":"2021-04-04T16:04:17","date_gmt":"2021-04-04T08:04:17","guid":{"rendered":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=831"},"modified":"2021-04-21T23:28:45","modified_gmt":"2021-04-21T15:28:45","slug":"%e5%a4%a7%e6%95%b8%e6%93%9a%e9%81%8b%e7%ae%97%e3%80%81%e6%a9%9f%e5%99%a8%e5%ad%b8%e7%bf%92%e8%88%87%e4%ba%ba%e5%b7%a5%e6%99%ba%e6%85%a7","status":"publish","type":"page","link":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=831","title":{"rendered":"\u5927\u6578\u64da\u904b\u7b97\u3001\u6a5f\u5668\u5b78\u7fd2\u8207\u4eba\u5de5\u667a\u6167"},"content":{"rendered":"<div id=\"pl-831\"  class=\"panel-layout\" ><div id=\"pg-831-0\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-831-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-831-0-0-0\" class=\"so-panel widget widget_sow-editor panel-first-child panel-last-child\" data-index=\"0\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-editor so-widget-sow-editor-base\"\n\t\t\t\n\t\t>\n<div class=\"siteorigin-widget-tinymce textwidget\">\n\t<div id=\"pl-1560\"  class=\"panel-layout\">\n<div id=\"pg-1560-0\"  class=\"panel-grid panel-no-style\">\n<div id=\"pgc-1560-0-0\"  class=\"panel-grid-cell\"  data-weight=\"1\">\n<div id=\"panel-1560-0-0-0\" class=\"so-panel widget widget_sow-editor panel-first-child panel-last-child\" data-index=\"0\">\n<div class=\"so-widget-sow-editor so-widget-sow-editor-base\">\n<div class=\"siteorigin-widget-tinymce textwidget\">\n<h2 style=\"text-align: left;\"><span style=\"color: #008000;\"><strong>\u5927\u6578\u64da\u904b\u7b97\u3001\u6a5f\u5668\u5b78\u7fd2\u8207\u4eba\u5de5\u667a\u6167<\/strong><\/span><\/h2>\n<h3><strong><span style=\"color: #008000;\">\u8ab2\u7a0b\u5b89\u6392<\/span><\/strong><\/h3>\n<p>\u672c\u5b78\u7a0b\u7684\u7b2c\u4e8c\u500b\u5171\u540c\u8ab2\u7a0b\uff0c\u6211\u5011\u5c07\u958b\u59cb\u4ecb\u7d39\u5927\u6578\u64da\u904b\u7b97\u3001\u6a5f\u5668\u5b78\u7fd2\u8207\u4eba\u5de5\u667a\u6167\u9019\u4e09\u9805\u8cc7\u6599\u79d1\u5b78\u4e4b\u4e2d\u767c\u5c55\u7684\u6700\u5feb\u3001\u4e5f\u6700\u71b1\u9580\u7684\u6280\u8853\u9818\u57df\uff1b\u4e00\u822c\u8cc7\u5de5\u7ba1\u7684\u7cfb\u6240\u901a\u5e38\u6703\u5c07\u9019\u4e00\u4e9b\u79d1\u76ee\u5b9a\u4f4d\u70ba\u9032\u968e\u8ab2\u7a0b\uff0c\u628a\u91cd\u9ede\u64fa\u5728\u5206\u6563\u5f0f\u6a94\u6848\u7cfb\u7d71\u548c\u53e2\u96c6\u904b\u7b97\u7684\u7cfb\u7d71\u67b6\u69cb\u548c\u6a5f\u5668(\u6df1\u5ea6)\u5b78\u7fd2\u7684\u6f14\u7b97\u6cd5\uff0c\u9019\u6a23\u7684\u8ab2\u7a0b\u5c0d\u975e\u8cc7\u5de5\u7ba1\u79d1\u7cfb\u7684\u540c\u5b78\u4f86\u8aaa\u986f\u7136\u662f\u4e0d\u5408\u9069\u7684\u3002\u5f9e\u5546\u696d\u6578\u64da\u5206\u6790\u7684\u7acb\u5834\u51fa\u767c\uff0c\u6211\u5011\u6703\u628a\u9019\u500b\u8ab2\u7a0b\u7684\u6559\u5b78\u91cd\u9ede\u653e\u5728<strong>\u5927\u6578\u64da\u904b\u7b97<\/strong>\u3001<strong>\u6a5f\u5668\u5b78\u7fd2<\/strong>\u8207<strong>\u4eba\u5de5\u667a\u6167<\/strong>\u9019\u4e9b\u6280\u8853\u7684<strong>\u5546\u696d\u61c9\u7528<\/strong>\uff0c\u800c\u4e0d\u6703\u82b1\u592a\u591a\u6642\u9593\u53bb\u8a0e\u8ad6\u7cfb\u7d71\u67b6\u69cb\u548c\u6f14\u7b97\u6cd5\u7684\u7d30\u7bc0\u3002<\/p>\n<p>\u5927\u6578\u64da\u904b\u7b97\u8ab2\u7a0b\uff1a<br \/>\n\u904b\u7528\u4e86<a href=\"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=1246\">\u4e2d\u5c71\u7ba1\u9662\uff1a\u5546\u696d\u5927\u6578\u64da\u5e73\u53f0<\/a>\uff0c\u6709\u5b8c\u5584\u7684\u5927\u6578\u64da\u904b\u7b97\u53e2\u96c6\u548c\u6df1\u5ea6\u5b78\u7fd2\u4e3b\u6a5f\u7fa4\uff0c\u800c\u4e14\u5728\u9019\u4e9b\u6a19\u6e96\u7684\u7cfb\u7d71\u4e4b\u5916\uff0c\u6211\u5011\u53c8\u5206\u5225\u91dd\u5c0d\u7db2\u8def\u5206\u6563\u5f0f\u6a94\u6848\u7cfb\u7d71\u3001\u5e73\u884c\u904b\u7b97\u53e2\u96c6\u548c\u6a5f\u5668(\u6df1\u5ea6)\u5b78\u7fd2\u958b\u767c\u4e86\u4e00\u7cfb\u5217\u7684\u6f14\u793a\u7a0b\u5f0f\u548c\u7a0b\u5f0f\u6a21\u677f\uff1b\u9019\u4e9b\u7a0b\u5f0f\u64fa\u7f6e\u5728\u5b78\u751f\u5e33\u865f\u7684\u6839\u76ee\u9304\u4e4b\u4e0b\uff0c\u8b93\u540c\u5b78\u5728\u62ff\u5230\u5e33\u865f\u4e4b\u5f8c\uff0c\u99ac\u4e0a\u5c31\u80fd\u5920\u4f7f\u7528\u7c21\u55ae\u7684URL\u548c\u8cc7\u6599\u96c6(Data Frame)\u4ecb\u9762\u3001\u900f\u904e\u5927\u6578\u64da\u904b\u7b97\u53e2\u96c6\u8655\u7406\u64fa\u7f6e\u5728\u7db2\u8def\u6a94\u6848\u7cfb\u7d71\u88e1\u9762\u7684\u5de8\u91cf\u8cc7\u6599\u3002<\/p>\n<p>\u6a5f\u5668\u5b78\u7fd2\u8ab2\u7a0b\uff1a<br \/>\n\u6211\u5011\u50be\u5411\u65bc\u5c07\u6a5f\u5668\u5b78\u7fd2\u6a21\u578b\u8996\u70ba\u4e00\u500b\u9ed1\u7bb1\uff0c\u5c07\u500b\u5225\u6f14\u7b97\u6cd5\u548c\u5404\u7a2e\u6a21\u578b\u7684\u8907\u96dc\u5ea6\u5305\u8986\u5728\u9ed1\u7bb1\u5167\u90e8\uff0c\u800c\u628a\u6559\u5b78\u91cd\u9ede\u64fa\u5728\u76e3\u7763\u5f0f\u548c\u975e\u76e3\u7763\u5f0f\u5b78\u7fd2\u7684\u6d41\u7a0b\u64cd\u4f5c\u4e0a\u9762\uff0c\u63a5\u8457\u628a\u57fa\u672c\u7684\u6a5f\u5668\u5b78\u7fd2\u6d41\u7a0b\u5148\u505a\u6210\u6a21\u677f\u7a0b\u5f0f\uff0c\u900f\u904e\u4fee\u6539\u9019\u4e9b\u6a21\u677f\uff0c\u540c\u5b78\u5011\u5c31\u53ef\u4ee5\u5728(\u534a)\u81ea\u52d5\u5316\u7a0b\u5f0f\u5957\u4ef6\u7684\u5e6b\u52a9\u4e4b\u4e0b\uff0c\u64cd\u7df4\u5404\u7a2e\u4e0d\u540c\u7684\u6a5f\u5668\u5b78\u7fd2\u65b9\u6cd5\u3002<\/p>\n<p>\u4eba\u5de5\u667a\u6167\u8ab2\u7a0b\uff1a<br \/>\n\u6211\u5011\u7684\u6559\u5b78\u91cd\u9ede\u4e00\u6a23\u6703\u64fa\u5728\u8b93\u540c\u5b78\u5011\u8a8d\u8b58\u5404\u7a2e\u5f62\u5f0f\u7684\u985e\u795e\u7d93\u7db2\u8def\u4ee5\u53ca\u5b83\u5011\u53ef\u80fd\u7684\u5546\u696d\u61c9\u7528\u3002\u8003\u616e\u5230\u540c\u5b78\u7684\u7a0b\u5ea6\uff0c\u5728\u9019\u500b\u968e\u6bb5\u6211\u5011\u6703\u4f7f\u7528\u9ad8\u968e\u7a0b\u5f0f\u4ecb\u9762(\u5982R\u7684Keras\u5957\u4ef6)\u3001\u63d0\u4f9b\u5beb\u597d\u7684\u7a0b\u5f0f\u8b93\u540c\u5b78\u5011\u505a\u4fee\u6539\uff0c\u800c\u4e0d\u6703\u76f4\u63a5\u8b93\u540c\u5b78\u5011\u5f9e\u982d\u53bb\u505a\u8907\u96dc\u7684\u6df1\u5ea6\u5b78\u7fd2\u6a21\u578b\uff1b\u4eba\u5de5\u667a\u6167\u5728\u5546\u696d\u6578\u64da\u5206\u6790\u88e1\u9762\u7684\u61c9\u7528\u8ddf\u5b83\u5728\u5de5\u7a0b\u4e0a\u7684\u61c9\u7528\u4e26\u4e0d\u592a\u4e00\u6a23\uff0c\u5728\u5de5\u7a0b\u4e0a\u5b83\u6bd4\u8f03\u504f\u91cd\u8996\u5373\u6642\u6027\u7684\u60c5\u5883\u8fa8\u8b58\u548c\u81ea\u52d5\u63a7\u5236\uff0c\u800c\u5728\u5546\u696d\u6578\u64da\u5206\u6790\u9019\u500b\u9818\u57df\u88e1\u9762\uff0c\u4eba\u5de5\u667a\u6167\u3001\u6df1\u5ea6\u5b78\u7fd2\u6a21\u578b\u548c\u6a5f\u5668\u5b78\u7fd2\u6a21\u578b\u4e00\u6a23\uff0c\u4e3b\u8981\u90fd\u662f\u62ff\u4f86\u505a\u9810\u6e2c\uff0c\u6211\u5011\u4e5f\u6703\u628a\u6a5f\u5668\u5b78\u7fd2\u6a21\u578b\u8ddf\u4eba\u5de5\u667a\u6167\u6a21\u578b\u4e4b\u9593\u7684\u5dee\u7570\uff0c\u4ee5\u53ca\u4f7f\u7528\u9810\u5148\u8a13\u7df4\u597d\u7684\u6a21\u578b\u5f9e\u591a\u5a92\u9ad4\u8cc7\u6599\u4e4b\u4e2d\u64f7\u53d6\u7279\u5fb5\uff0c\u7576\u4f5c\u9019\u4e00\u500b\u968e\u6bb5\u7684\u6559\u5b78\u91cd\u9ede\u3002<\/p>\n<p>\u9664\u4e86\u9019\u4e09\u500b\u6bd4\u8f03\u5927\u7684\u6280\u8853\u9818\u57df\u4e4b\u5916\uff0c\u96f2\u7aef\u8cc7\u6e90\u7684\u4f7f\u7528\u4e5f\u662f\u9019\u4e00\u500b\u8ab2\u7a0b\u7684\u6559\u5b78\u91cd\u9ede\uff1b\u5728\u9019\u500b\u8ab2\u7a0b\u88e1\u9762\uff0c\u6211\u5011\u6703\u5229\u7528\u4e2d\u5c71\u7ba1\u9662\u81ea\u884c\u5efa\u7f6e\u7684<a href=\"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=1725\">\u6587\u5b57\u5206\u6790\u5e73\u53f0<\/a>\uff0c\u6559\u540c\u5b78\u5f9e\u7db2\u8def\u4e0a\u6293\u53d6\u6587\u5b57\u8cc7\u6599\u4e26\u4e14\u9032\u884c\u6587\u5b57\u5206\u6790\uff0c\u4e5f\u6703\u5229\u7528\u514d\u8cbb\u8a66\u7528\u5e33\u865f\uff0c\u5e36\u540c\u5b78\u4f7f\u7528\u81ea\u52d5\u5316\u7684\u7dda\u4e0a\u5206\u6790\u5de5\u5177(\u5982\uff1a<a href=\"https:\/\/www.ibm.com\/watson-analytics\">IBM Waston Analytics<\/a>)\uff1b\u53e6\u5916\uff0c\u7531\u65bc\u6211\u5011\u7684\u6df1\u5ea6\u5b78\u7fd2\u4e3b\u6a5f\u7fa4\u5728\u521d\u671f\u7684\u5bb9\u91cf\u53ef\u80fd\u6c92\u6709\u8fa6\u6cd5\u8b93\u6240\u6709\u7684\u5b78\u751f\u4e00\u8d77\u4e0a\u7dda\uff0c\u6211\u5011\u6703\u4ee5<a href=\"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=1146\">\u96f2\u7aef\u6df1\u5ea6\u5b78\u7fd2\u5de5\u4f5c\u574a<\/a>\u7684\u6a21\u5f0f\uff0c\u6559\u540c\u5b78\u5011\u5229\u7528<a href=\"https:\/\/cloud.google.com\/gcp\/?hl=zh-tw&amp;utm_source=google&amp;utm_medium=cpc&amp;utm_campaign=japac-TW-all-zh-dr-bkws-all-super-trial-e-dr-1003987&amp;utm_content=text-ad-none-none-DEV_c-CRE_263264845613-ADGP_Hybrid%20%7C%20AW%20SEM%20%7C%20BKWS%20~%20T1%20%7C%20EXA%20%7C%20General%20%7C%201:1%20%7C%20TW%20%7C%20zh%20%7C%20cloud%20platform%20%7C%20google%20cloud%20platforms%20%7C%20en-KWID_43700031884576416-kwd-141425403689&amp;userloc_9040314&amp;utm_term=KW_google%20cloud%20platforms&amp;gclid=Cj0KCQiArqPgBRCRARIsAPwlHoWODzu1EfcNtkqEUoUChxk2Z9LMwUZxX5TKPXk6SR_MXPrIL81486caAoxYEALw_wcB\">Google Cloud Platform(GCP)<\/a>\u6240\u63d0\u4f9b\u7684\u514d\u8cbb\u4f7f\u7528\u984d\u5ea6\u5728\u96f2\u7aef\u79df\u7528\u3001\u67b6\u8a2d\u6df1\u5ea6\u5b78\u7fd2\u4e3b\u6a5f\uff0c\u4e26\u5728\u96f2\u7aef\u5efa\u7acb\u6df1\u5ea6\u5b78\u7fd2\u6a21\u578b\u3002<\/p>\n<h3><strong><span style=\"color: #008000;\">\u6559\u5b78\u76ee\u6a19<\/span><\/strong><\/h3>\n<p>\u4f5c\u70ba\u9019\u4e00\u500b\u8ab2\u7a0b\u7684\u9996\u8981\u6559\u5b78\u76ee\u6a19\uff0c\u6211\u5011\u5e0c\u671b\u8b93\u540c\u5b78\u5011\u611f\u53d7\u5230\uff0c\u5f9e\u5546\u696d\u61c9\u7528\u7684\u89d2\u5ea6\u4f86\u770b\uff0c\u5927\u6578\u64da\u5176\u5be6\u4e26\u4e0d\u56f0\u96e3\uff0c\u53ea\u8981\u9078\u5c0d\u5de5\u5177\u3001\u7528\u5c0d\u65b9\u6cd5\uff0c\u8655\u7406\u5e7e\u5341\u5104\u7b46\u7684\u5de8\u91cf\u8cc7\u6599\u5c31\u8ddf\u8655\u7406\u5e7e\u5343\u7b46\u7684\u8cc7\u6599\u4e00\u6a23\uff0c\u5169\u8005\u4e4b\u9593\u4e26\u6c92\u6709\u5f88\u5927\u7684\u5dee\u7570\u3002\u4e26\u4e14\u5b78\u7fd2\u8b93\u6a5f\u5668\u5e6b\u6211\u5011\u627e\u51fa\u96b1\u85cf\u5728\u773e\u591a\u7684\u9810\u6e2c\u8b8a\u6578\u88e1\u9762\u7684\u3001\u6709\u7528\u7684\u8cc7\u8a0a\uff0c\u6a5f\u5668\u53ea\u662f\u4e00\u500b\u5de5\u5177\uff0c\u800c\u4e0d\u662f\u76ee\u7684\u3002\u6240\u4ee5\u9019\u4e00\u500b\u5b78\u7a0b\u7684\u6559\u5b78\u91cd\u9ede\u4e0d\u662f\u8981\u53bb\u4f7f\u7528\u4e00\u53f0\u975e\u5e38\u5f37\u5927\u7684\u6a5f\u5668\u4f86\u958b\u767c\u51fa\u9810\u6e2c\u80fd\u529b\u6700\u5f37\u7684\u6a21\u578b\uff0c\u800c\u662f\u8981\u4f9d\u64da\u4e0d\u540c\u7684\u5546\u696d\u60c5\u5883\u3001\u9748\u6d3b\u7684\u904b\u7528\u6211\u5011\u624b\u908a\u7684\u5de5\u5177\uff0c\u5e6b\u6211\u5011\u89e3\u6c7a\u5546\u696d\u554f\u984c\u3002<\/p>\n<hr \/>\n<h3 style=\"text-align: left;\"><strong><span style=\"color: #008000;\">\u8ab2\u7a0b\u5927\u7db1<\/span><\/strong><\/h3>\n<h5>PART-I \u5927\u6578\u64da\u904b\u7b97\u8207\u6a5f\u5668\u5b78\u7fd2<\/h5>\n<ul>\n<li>\u6a5f\u5668\u5b78\u7fd2\u57fa\u790e\u4ecb\u7d39\n<ul>\n<li>\u8cc7\u6599\u3001\u65b9\u6cd5\u3001\u8207\u6a21\u578b<\/li>\n<li>\u8a13\u7df4\u8aa4\u5dee\u3001\u6e2c\u8a66\u8aa4\u5dee<\/li>\n<li>\u53c3\u6578\u8abf\u6821(Parameter Tuning)\u3001\u76e3\u7763\u5f0f\u8207\u975e\u76e3\u7763\u5f0f\u5b78\u7fd2<\/li>\n<li>\u6574\u5408\u6a21\u578b\u5b78\u7fd2(Ensemble Learning)<\/li>\n<\/ul>\n<\/li>\n<li>\u5927\u6578\u64da\u5206\u6790\u8207\u5206\u6563\u5f0f\u904b\u7b97\u57fa\u790e\n<ul>\n<li>\u5206\u6563\u5f0f\u6a94\u6848\u7cfb\u7d71\u4ecb\u7d39<\/li>\n<li>Hadoop\u3001Spark\u3001\u8207 H2O \u7c21\u4ecb<\/li>\n<li>\u4e2d\u5c71\u7ba1\u9662\u5927\u6578\u64da\u904b\u7b97\u8207\u5546\u696d\u6578\u64da\u5206\u6790\u5e73\u53f0<\/li>\n<li>\u5927\u6578\u64da\u904b\u7b97\u793a\u7bc4\u6848\u4f8b<\/li>\n<\/ul>\n<\/li>\n<li>\u975e\u7d50\u69cb\u5316\u6587\u5b57\u8cc7\u6599\u5206\u6790\n<ul>\n<li>\u975e\u7d50\u69cb\u5316\u8cc7\u6599(Unstructured Data)\u4ecb\u7d39<\/li>\n<li>\u6587\u5b57\u5206\u6790(Text Analysis)<\/li>\n<li>\u6587\u5b57\u5206\u6790\u7684\u61c9\u7528\u8207\u9ad8\u968e\u5de5\u5177<\/li>\n<\/ul>\n<\/li>\n<li>\u6df1\u5ea6\u5b78\u7fd2\u57fa\u790e\u8207\u61c9\u7528\n<ul>\n<li>\u6df1\u5ea6\u5b78\u7fd2\u6a21\u578b<\/li>\n<li>\u6587\u5b57\/\u4eba\u81c9\u8fa8\u8b58<\/li>\n<li>\u7269\u4ef6\u8fa8\u8b58<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h5>PART-II \u5927\u6578\u64da\u8207\u96f2\u7aef\u8cc7\u6e90\u61c9\u7528<\/h5>\n<ul>\n<li>\u5546\u52d9\u61c9\u7528\n<ul>\n<li>\u9867\u5ba2\u50f9\u503c\u7ba1\u7406<\/li>\n<li>\u884c\u92b7\u6578\u64da\u5206\u6790<\/li>\n<li>\u7522\u54c1\u92b7\u552e\u8cc7\u8a0a<\/li>\n<\/ul>\n<\/li>\n<li>\u96f2\u7aef\u8cc7\u6e90\u5229\u7528\n<ul>\n<li>\u4e2d\u5c71\u7ba1\u9662\u5927\u6578\u64da\u5e73\u53f0\u4ecb\u7d39<\/li>\n<li>\u6587\u5b57\u5206\u6790\u5e73\u53f0<\/li>\n<li>\u81ea\u52d5\u5316\u7dda\u4e0a\u5206\u6790\u5de5\u5177<\/li>\n<\/ul>\n<\/li>\n<li>\u96f2\u7aef\u6df1\u5ea6\u5b78\u7fd2\u5de5\u4f5c\u574a\n<ul>\n<li>\u7dda\u4e0a\u6a21\u64ec\uff1a\u795e\u7d93\u7db2\u7d61\u6a21\u578b<\/li>\n<li>\u67b6\u8a2d\u96f2\u7aef\u6df1\u5ea6\u5b78\u7fd2\u4e3b\u6a5f(Google Cloud Platform)<\/li>\n<li>\u6848\u4f8b\u8207\u61c9\u7528<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<hr \/>\n<h3 style=\"text-align: left;\"><strong><span style=\"color: #008000;\">\u81ea\u88fd\u6559\u6750<\/span><\/strong><\/h3>\n<p>\u672c\u8ab2\u7a0b\u4e0d\u4f7f\u7528\u6559\u79d1\u66f8\uff0c\u6211\u5011\u5c07\u4ee5\u904e\u53bb\u7684\u81ea\u88fd\u6559\u6750\u70ba\u57fa\u790e\uff0c\u4f9d\u64da\u8ab2\u7a0b\u9700\u8981\u91cd\u65b0\u7de8\u88fd\u6559\u6750\uff0c\u6559\u6750\u9805\u76ee\u5305\u62ec\uff1a<\/p>\n<ul>\n<li><a href=\"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=833\">\u8ab2\u7a0b\u7db2\u7ad9<\/a>\uff1a\u6574\u5408\u81ea\u88fd\u6559\u6750\u8207\u7dda\u4e0a\u8cc7\u6e90\uff0c\u4fc3\u9032\u4e92\u52a9\u5b78\u7fd2 (HTML)<\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=bNzcONJsc2Y\">\u5c0e\u8b80\u5f71\u7247<\/a>\uff1a\u5e6b\u52a9\u540c\u5b78\u4e86\u89e3\u7dda\u4e0a\u9810\u7fd2\u5167\u5bb9(\u7dda\u4e0a\u8ab2\u7a0b\u539f\u6587\u6559\u5b78\u5f71\u7247)<\/li>\n<li><a href=\"https:\/\/drive.google.com\/open?id=17NYL53esNEs56fvlfhKmXxvanduOjwRy\">\u8b1b\u7fa9<\/a>\uff1a\u6bcf\u4e00\u55ae\u5143\u7684\u8b1b\u7fa9\u6295\u5f71\u7247 (PPT)<\/li>\n<li><a href=\"http:\/\/rpubs.com\/tonychuo\/AS8-0-CVM\">\u8ab2\u5802\u7b46\u8a18<\/a>\uff1a\u6bcf\u4e00\u55ae\u5143\u7684\u8ab2\u5802\u6240\u4f7f\u7528\u7684\u7a0b\u5f0f\u78bc(R-Notebook)<\/li>\n<li><a href=\"http:\/\/rpubs.com\/tonychuo\/AS7-1\">\u4f5c\u696d\u7b46\u8a18<\/a>\uff1a\u6bcf\u4e00\u55ae\u5143\u7684\u4f5c\u696d(R-Notebook)<\/li>\n<li><a href=\"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=1244\">\u7dda\u4e0a\u6a21\u64ec\u7a0b\u5f0f<\/a>\uff1a\u4ee5\u4e92\u52d5\u6a21\u64ec\u7684\u65b9\u5f0f\u5e6b\u52a9\u540c\u5b78\u4e86\u89e3\u6bd4\u8f03\u8907\u96dc\u7684\u6982\u5ff5 (R:Shiny)<\/li>\n<li><a href=\"https:\/\/www.youtube.com\/watch?v=ZNC3AQj1Pv8&amp;index=1&amp;list=PLZgYls1tojKn4cRSjR2q0vVys4AWXDsKP\">\u4e0a\u8ab2\u9304\u5f71<\/a>\uff1a \u65b9\u4fbf\u540c\u5b78\u8907\u7fd2\u6216\u88dc\u8ab2 (YouTube)<\/li>\n<\/ul>\n<p>\u8acb\u900f\u904e\u4ee5\u4e0a\u7db2\u8def\u9023\u7d50\u5be9\u95b1\u6211\u5011\u7684\u81ea\u88fd\u6559\u6750\u7bc4\u4f8b\u3002<\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<h3 style=\"text-align: left;\"><strong><span style=\"color: #008000;\">\u7dda\u4e0a\u8ab2\u7a0b<\/span><\/strong><\/h3>\n<p>\u6211\u5011\u6703\u5229\u7528<a href=\"https:\/\/www.datacamp.com\/groups\/education\">DataCamp for Classroom<\/a>\u7684\u9019\u500b\u6a5f\u5236\uff0c\u6839\u64da\u6211\u5011\u4e8b\u5148\u7de8\u597d\u7684<a href=\"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=1246\">R\u8a9e\u8a00\u81ea\u5b78\u5730\u5716<\/a>\uff0c\u8981\u6c42\u4e26\u5be9\u6838\u6bcf\u4e00\u4f4d\u540c\u5b78\u78ba\u5be6\u5b8c\u6210\u4ee5\u4e0b\u7dda\u4e0a\u8ab2\u7a0b(\u81ea\u52a9\u5b78\u7fd2\u55ae\u5143)\uff1a<\/p>\n<ul>\n<li>\u53ef\u6c57\u5b78\u9662\u7684 <a href=\"https:\/\/www.khanacademy.org\/math\/statistics-probability\">Statistics and Probability<\/a><\/li>\n<li>Coursera, Andrew Ng \u7684 <a href=\"https:\/\/www.youtube.com\/playlist?list=PLZ9qNFMHZ-A4rycgrgOYma6zxF4BZGGPW\">Machine Learning<\/a>\u548c<a href=\"https:\/\/zh-tw.coursera.org\/specializations\/deep-learning\">Deep Learning<\/a><\/li>\n<li>\u53f2\u4e39\u4f5b\u5927\u5b78\u958b\u8a2d\u7684<a href=\"https:\/\/lagunita.stanford.edu\/courses\/HumanitiesSciences\/StatLearning\/Winter2016\/about\">Statistical Learning<\/a><\/li>\n<li>\u7d04\u7ff0\u970d\u666e\u91d1\u65af\u5927\u5b78\u958b\u8a2d\u7684<a href=\"https:\/\/zh-tw.coursera.org\/specializations\/jhu-data-science\">Data Science<\/a>\u7cfb\u5217\u8ab2\u7a0b\n<ul>\n<li><a href=\"https:\/\/zh-tw.coursera.org\/learn\/data-scientists-tools?specialization=jhu-data-science\">The Data Scientist\u2019s Toolbox<\/a><\/li>\n<li><a href=\"https:\/\/zh-tw.coursera.org\/learn\/data-cleaning?specialization=jhu-data-science\">Getting and Cleaning Data<\/a><\/li>\n<li><a href=\"https:\/\/zh-tw.coursera.org\/learn\/statistical-inference\">Statistical Inference<\/a><\/li>\n<li><a href=\"https:\/\/zh-tw.coursera.org\/learn\/practical-machine-learning\">Practical Machine Learning<\/a><\/li>\n<\/ul>\n<\/li>\n<li>\u52a0\u5dde\u5927\u5b78\u8056\u5730\u7259\u54e5\u5206\u6821\u958b\u8a2d\u7684<a href=\"https:\/\/zh-tw.coursera.org\/specializations\/big-data\">Big Data<\/a>\u7cfb\u5217\u8ab2\u7a0b\n<ul>\n<li><a href=\"https:\/\/zh-tw.coursera.org\/learn\/big-data-management?specialization=big-data\">Big Data Modeling and Management Systems<\/a><\/li>\n<li><a href=\"https:\/\/zh-tw.coursera.org\/learn\/big-data-integration-processing?specialization=big-data\">Big Data Integration and Processing<\/a><\/li>\n<li><a href=\"https:\/\/zh-tw.coursera.org\/learn\/big-data-machine-learning?specialization=big-data\">Machine Learning With Big Data<\/a><\/li>\n<li><a href=\"https:\/\/zh-tw.coursera.org\/learn\/big-data-graph-analytics\">Graph Analytics for Big Data<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u5f9e\u5176\u4e2d\u622a\u53d6\u5408\u9069\u7684\u6559\u5b78\u55ae\u5143\u3001\u4f5c\u696d\u7fd2\u984c\u6216\u8cc7\u6599\u6848\u4f8b\uff0c\u76f4\u63a5\u5f15\u7528\u70ba\u9810\u7fd2\u6559\u6750\u3001\u53c3\u8003\u6559\u6750\uff0c\u6216\u4ee5\u5176\u4f5c\u70ba\u81ea\u7de8\u6559\u6750\u7684\u7d20\u6750\u3002<\/p>\n<hr \/>\n<h3 style=\"text-align: left;\"><strong><span style=\"color: #008000;\">\u53c3\u8003\u66f8\u76ee<\/span><\/strong><\/h3>\n<p>\u672c\u8ab2\u7a0b\u7684\u53c3\u8003\u66f8\u76ee\u66ab\u5b9a\u5982\u4e0b\uff1a<\/p>\n<ol>\n<li>EMC Education Services, Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data. John Wiley &amp; Sons, 2015.<\/li>\n<li>James, D. Witten, T. Hastie, and R. Tibshirani, An Introduction to Statistical Learning: with Applications in R, 6 edition., 2013 (Available free online: <a href=\"http:\/\/www-bcf.usc.edu\/~gareth\/ISL\/\">http:\/\/www-bcf.usc.edu\/~gareth\/ISL\/<\/a>)<\/li>\n<li>Hwang and M. Chen, Big-Data Analytics for Cloud, IoT and Cognitive Computing, 1st ed. Wiley Publishing, 2018<\/li>\n<li>F. Chollet and J. J. Allaire, Deep Learning with R, 1 edition. Manning Publications, 2018<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>\u5927\u6578\u64da\u904b\u7b97\u3001\u6a5f\u5668\u5b78\u7fd2\u8207\u4eba\u5de5\u667a\u6167 \u8ab2\u7a0b\u5b89\u6392 \u672c\u5b78\u7a0b\u7684\u7b2c\u4e8c\u500b\u5171\u540c\u8ab2\u7a0b\uff0c\u6211\u5011\u5c07\u958b\u59cb\u4ecb\u7d39\u5927\u6578\u64da\u904b\u7b97\u3001\u6a5f\u5668\u5b78\u7fd2\u8207\u4eba\u5de5\u667a\u6167\u9019\u4e09\u9805\u8cc7\u6599\u79d1\u5b78\u4e4b\u4e2d\u767c\u5c55\u7684\u6700\u5feb\u3001\u4e5f\u6700\u71b1\u9580\u7684\u6280\u8853\u9818\u57df\uff1b\u4e00\u822c\u8cc7\u5de5\u7ba1\u7684\u7cfb\u6240\u901a\u5e38\u6703\u5c07\u9019\u4e00\u4e9b\u79d1\u76ee\u5b9a\u4f4d\u70ba\u9032\u968e\u8ab2\u7a0b\uff0c\u628a\u91cd\u9ede\u64fa\u5728\u5206\u6563\u5f0f\u6a94\u6848\u7cfb\u7d71\u548c\u53e2\u96c6\u904b\u7b97\u7684\u7cfb\u7d71\u67b6\u69cb\u548c\u6a5f\u5668(\u6df1\u5ea6)\u5b78\u7fd2\u7684\u6f14\u7b97\u6cd5\uff0c\u9019\u6a23\u7684\u8ab2\u7a0b\u5c0d\u975e\u8cc7\u5de5\u7ba1\u79d1\u7cfb\u7684\u540c\u5b78\u4f86\u8aaa\u986f\u7136\u662f\u4e0d\u5408\u9069\u7684\u3002\u5f9e\u5546\u696d\u6578\u64da\u5206\u6790\u7684\u7acb\u5834\u51fa\u767c\uff0c\u6211\u5011\u6703\u628a\u9019\u500b\u8ab2\u7a0b\u7684\u6559\u5b78\u91cd\u9ede\u653e\u5728\u5927\u6578\u64da\u904b\u7b97\u3001\u6a5f\u5668\u5b78\u7fd2\u8207\u4eba\u5de5\u667a\u6167\u9019\u4e9b\u6280\u8853\u7684\u5546\u696d\u61c9\u7528\uff0c\u800c\u4e0d\u6703\u82b1\u592a\u591a\u6642\u9593\u53bb\u8a0e\u8ad6\u7cfb\u7d71\u67b6\u69cb\u548c\u6f14\u7b97\u6cd5\u7684\u7d30\u7bc0\u3002 \u5927\u6578\u64da\u904b\u7b97\u8ab2\u7a0b\uff1a \u904b\u7528\u4e86\u4e2d\u5c71\u7ba1\u9662\uff1a\u5546\u696d\u5927\u6578\u64da\u5e73\u53f0\uff0c\u6709\u5b8c\u5584\u7684\u5927\u6578\u64da\u904b\u7b97\u53e2\u96c6\u548c\u6df1\u5ea6\u5b78\u7fd2\u4e3b\u6a5f\u7fa4\uff0c\u800c\u4e14\u5728\u9019\u4e9b\u6a19\u6e96\u7684\u7cfb\u7d71\u4e4b\u5916\uff0c\u6211\u5011\u53c8\u5206\u5225\u91dd\u5c0d\u7db2\u8def\u5206\u6563\u5f0f\u6a94\u6848\u7cfb\u7d71\u3001\u5e73\u884c\u904b\u7b97\u53e2\u96c6\u548c\u6a5f\u5668(\u6df1\u5ea6)\u5b78\u7fd2\u958b\u767c\u4e86\u4e00\u7cfb\u5217\u7684\u6f14\u793a\u7a0b\u5f0f\u548c\u7a0b\u5f0f\u6a21\u677f\uff1b\u9019\u4e9b\u7a0b\u5f0f\u64fa\u7f6e\u5728\u5b78\u751f\u5e33\u865f\u7684\u6839\u76ee\u9304\u4e4b\u4e0b\uff0c\u8b93\u540c\u5b78\u5728\u62ff\u5230\u5e33\u865f\u4e4b\u5f8c\uff0c\u99ac\u4e0a\u5c31\u80fd\u5920\u4f7f\u7528\u7c21\u55ae\u7684URL\u548c\u8cc7\u6599\u96c6(Data Frame)\u4ecb\u9762\u3001\u900f\u904e\u5927\u6578\u64da\u904b\u7b97\u53e2\u96c6\u8655\u7406\u64fa\u7f6e\u5728\u7db2\u8def\u6a94\u6848\u7cfb\u7d71\u88e1\u9762\u7684\u5de8\u91cf\u8cc7\u6599\u3002 \u6a5f\u5668\u5b78\u7fd2\u8ab2\u7a0b\uff1a 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