{"id":258,"date":"2020-08-20T19:59:50","date_gmt":"2020-08-20T11:59:50","guid":{"rendered":"http:\/\/docker.3du.me:8020\/?p=258"},"modified":"2020-08-26T11:19:36","modified_gmt":"2020-08-26T03:19:36","slug":"keynote-2-roger-jang","status":"publish","type":"post","link":"http:\/\/docker.3du.me:8020\/2020\/08\/20\/keynote-2-roger-jang\/","title":{"rendered":"Keynote \u8b1b\u8005 #2"},"content":{"rendered":"\n<p><strong>\u8b1b\u984c\uff1a<\/strong><\/p>\n\n\n\n<h5><strong>COMMON CAVEATS OF MACHINE LEARNING<\/strong><\/h5>\n\n\n\n<p><strong>\u8b1b\u8005\uff1a<\/strong><\/p>\n\n\n\n<p>\u5f35\u667a\u661f, Jyh-Shing Roger Jang<br>\/ \u79d1\u6280\u9577 (CTO), \u7389\u5c71\u91d1\u63a7 (E.SUN Financial Holding Company)<\/p>\n\n\n\n<p><strong>\u8b1b\u8005\u7c21\u4ecb\uff1a<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u5f35\u667a\u661f\u65bc1992\u5e74\u7372\u5f97\u7f8e\u570b\u52a0\u5dde\u5927\u5b78\u67cf\u514b\u840a\u5206\u6821\u96fb\u6a5f\u96fb\u8166\u535a\u58eb\uff0c\u535a\u58eb\u8ad6\u6587\u70ba\u985e\u795e\u7d93\u7db2\u8def\u8207\u6a21\u7cca\u908f\u8f2f\u4e4b\u5efa\u6a21\u8207\u61c9\u7528\u30021993~1995\u4efb\u8077\u65bc\u7f8e\u570b\u9ebb\u5dde MathWorks \u516c\u53f8\uff0c\u8ca0\u8cac\u958b\u767c\u8207 MATLAB \u5408\u7528\u7684Fuzzy Logic Toolbox\u30021995\u5e74\u8d77\u56de\u53f0\u4efb\u6559\u65bc\u6e05\u83ef\u5927\u5b78\u8cc7\u8a0a\u7cfb\uff0c2012\u5e74\u8f49\u4efb\u53f0\u5927\u8cc7\u8a0a\u7cfb\u30022017-2019\u5e74\u64d4\u4efb\u53f0\u5927\u91ab\u9662\u8cc7\u8a0a\u5ba4\u4e3b\u4efb\uff0c2018\u5e74\u8d77\u64d4\u4efb\u53f0\u5927\u91d1\u878d\u79d1\u6280\u7814\u7a76\u4e2d\u5fc3\u4e3b\u4efb\uff0c2020\u5e74\u501f\u8abf\u5230\u7389\u5c71\u91d1\u63a7\u64d4\u4efb\u79d1\u6280\u9577\u3002\u5c08\u9577\u5728\u65bc\u6a5f\u5668\u5b78\u7fd2\u4e4b\u5404\u9805\u61c9\u7528\uff0c\u5305\u542b\u8a9e\u97f3\u8fa8\u8b58\u3001\u97f3\u6a02\u6aa2\u7d22\u3001\u6587\u4ef6\u5206\u985e\u3001\u5f71\u50cf\u8fa8\u8b58\u3001\u91ab\u7642\u6578\u64da\u8207\u91d1\u878d\u8cc7\u6599\u5206\u6790\u7b49\u9818\u57df\u3002<\/p><\/blockquote>\n\n\n\n<p><a href=\"https:\/\/udn.com\/news\/story\/7239\/4764757\">https:\/\/udn.com\/news\/story\/7239\/4764757<\/a><\/p>\n\n\n\n<p><strong>\u8b1b\u984c\u6458\u8981\uff1a<\/strong><\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>Instead of introducing the newest technologies in ML, this talk will pull us back and review some of the common caveats when we are in the routines of ML practice. Most of these caveats occur when the dataset is small or imbalanced, or when the dimension is large. Moreover, most of the caveats can be detected in advance by exerting more caution in coding. We will give some examples of how these caveats might occurs and how to prevent them . By knowing these caveats, you will be able to have a complete view of ML without falling into the fallacy of it.<\/p><\/blockquote>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" width=\"500\" height=\"260\" src=\"http:\/\/docker.3du.me:8020\/wp-content\/uploads\/2020\/08\/datacontw2020-keynote-2.jpeg\" alt=\"\" class=\"wp-image-259\" srcset=\"http:\/\/docker.3du.me:8020\/wp-content\/uploads\/2020\/08\/datacontw2020-keynote-2.jpeg 500w, http:\/\/docker.3du.me:8020\/wp-content\/uploads\/2020\/08\/datacontw2020-keynote-2-300x156.jpeg 300w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/figure><\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u8b1b\u984c\uff1a COMMON CAVEATS OF MACHINE LEARNING \u8b1b\u8005\uff1a \u5f35\u667a\u661f, Jyh-Shi &hellip; <\/p>\n","protected":false},"author":1,"featured_media":259,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[4],"_links":{"self":[{"href":"http:\/\/docker.3du.me:8020\/wp-json\/wp\/v2\/posts\/258"}],"collection":[{"href":"http:\/\/docker.3du.me:8020\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/docker.3du.me:8020\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/docker.3du.me:8020\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/docker.3du.me:8020\/wp-json\/wp\/v2\/comments?post=258"}],"version-history":[{"count":1,"href":"http:\/\/docker.3du.me:8020\/wp-json\/wp\/v2\/posts\/258\/revisions"}],"predecessor-version":[{"id":260,"href":"http:\/\/docker.3du.me:8020\/wp-json\/wp\/v2\/posts\/258\/revisions\/260"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/docker.3du.me:8020\/wp-json\/wp\/v2\/media\/259"}],"wp:attachment":[{"href":"http:\/\/docker.3du.me:8020\/wp-json\/wp\/v2\/media?parent=258"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/docker.3du.me:8020\/wp-json\/wp\/v2\/categories?post=258"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/docker.3du.me:8020\/wp-json\/wp\/v2\/tags?post=258"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}