{"id":8804,"date":"2017-10-14T13:32:36","date_gmt":"2017-10-14T05:32:36","guid":{"rendered":"https:\/\/ihower.tw\/blog\/?p=8804"},"modified":"2025-07-04T08:00:45","modified_gmt":"2025-07-04T00:00:45","slug":"machine-learning","status":"publish","type":"post","link":"https:\/\/ihower.tw\/blog\/8804-machine-learning","title":{"rendered":"A brief introduction to Machine Learning \u6295\u5f71\u7247"},"content":{"rendered":"<p><iframe loading=\"lazy\" src=\"\/\/www.slideshare.net\/slideshow\/embed_code\/key\/26jelfY7VaSHbj\" width=\"595\" height=\"485\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" style=\"border:1px solid #CCC; border-width:1px; margin-bottom:5px; max-width: 100%;\" allowfullscreen> <\/iframe><\/p>\n<div style=\"margin-bottom:5px\"> <strong> <a href=\"\/\/www.slideshare.net\/secret\/26jelfY7VaSHbj\" title=\"A brief introduction to Machine Learning\" target=\"_blank\">A brief introduction to Machine Learning<\/a> <\/strong> from <strong><a href=\"https:\/\/www.slideshare.net\/ihower\" target=\"_blank\">Wen-Tien Chang<\/a><\/strong> <\/div>\n<p>\u9019\u662f\u6211\u5728\u4eca\u5e74 <a href=\"http:\/\/rubyconfchina.org\">RubyConf China 2017<\/a> \u6f14\u8b1b\u7684\u6295\u5f71\u7247\uff0c\u9304\u5f71\u5b98\u65b9\u4e5f\u91cb\u51fa\u4e86\u5728 <a href=\"https:\/\/www.youtube.com\/watch?v=M_DUmyRIkQ8&#038;list=PLTUHmtFhYC6iEwu4h2REYhNKCHFFHYngS&#038;index=13\">Youtube<\/a>\u3002\u9019\u5834\u5206\u4eab\u7e3d\u7d50\u4e86\u9019\u5169\u5e74\u696d\u9918\u63a5\u89f8\u6a5f\u5668\u5b78\u7fd2\u7684\u4e00\u4e9b\u77e5\u8b58\u9ede\u548c\u5fc3\u5f97\uff0c\u5e0c\u671b\u80fd\u5728 Ruby \u5708\u63a8\u5ee3\u4e00\u4e0b\u8cc7\u6599\u79d1\u5b78\u548c\u6a5f\u5668\u9818\u57df\uff0c\u4ee5\u53ca\u4e3b\u6d41\u7684 Python \u5de5\u5177\u934a\u3002\u540c\u4e00\u5929\u53e6\u4e00\u5834\u9084\u6709\u4e00\u5834\u95dc\u65bc\u6a5f\u5668\u5b78\u7fd2\u7684 <a href =\"https:\/\/www.youtube.com\/watch?v=rkvL4FHZg7E&#038;list=PLTUHmtFhYC6iEwu4h2REYhNKCHFFHYngS&#038;index=10\">\u59dc\u9e4f &#8211; \u91d1\u6570\u636e\u662f\u5982\u4f55\u9274\u9ec4\u7684<\/a> \u4e5f\u8b1b\u7684\u975e\u5e38\u597d\uff0c\u4ecb\u7d39\u4e00\u500b\u771f\u5be6\u7684\u61c9\u7528\u6848\u4f8b\uff0c\u4e5f\u63a8\u85a6\u5927\u5bb6\u4e00\u770b\u3002<\/p>\n<p>\u8001\u5be6\u8aaa\uff0c\u5c31\u50cf\u505a Web \u7528 Rails \u5f88\u68d2\uff0c\u505a\u6578\u64da\u5206\u6790\u548c\u6a5f\u5668\u5b78\u7fd2\uff0c\u5c31\u662f\u8981\u7528 Python \u9019\u5957\u65b9\u6848\u3002\u9019\u4e0d\u4ee3\u8868\u6574\u5957 production code \u90fd\u8981\u5f9e Ruby \u63db\u6210 Python \uff0c\u5c31\u50cf Apple \u505a\u6a5f\u5668\u5b78\u7fd2\u7684 <a href=\"https:\/\/developer.apple.com\/documentation\/coreml\">Core ML<\/a> \u4e5f\u662f\u7528 Python \u65b9\u6848\u4f5c\u6578\u64da\u5206\u6790\u548c\u6a5f\u5668\u5b78\u7fd2\u8a13\u7df4\uff0c\u5728\u5f97\u5230\u6a21\u578b\u548c\u53c3\u6578\u5f8c\uff0c\u5be6\u969b\u904b\u4f5c\u7684 production code \u7576\u7136\u9084\u662f\u7528 Apple \u81ea\u5bb6\u7684 Swift \u8a9e\u8a00\u4f86\u9032\u884c\u9810\u6e2c\u3002<\/p>\n<p>\u53e6\u5916\uff0c\u6211\u89ba\u5f97\u70ba\u4ec0\u9ebc Ruby \u5708\u8001\u662f\u53bb\u9ed1 Python \u5462\uff1f(\u7684\u78ba\uff0c\u5982\u679c\u773c\u754c\u53ea\u5728\u505a Web \u7684\u8a71\uff0c\u6211\u4ee5\u524d\u4e5f\u662f\u89ba\u5f97\u5b78\u4e86 Ruby \u5c31\u7528\u4e0d\u5230 Python \u4e86)\uff0c\u6211\u8a8d\u70ba\u5c31\u57f9\u990a\u500b\u4eba\u6280\u80fd\u4f86\u8aaa\uff0c\u61c9\u8a72\u6311\u4e92\u88dc\u7684\uff0c\u800c\u4e0d\u662f\u6311\u505a\u4e00\u6a23\u7684\u4e8b\u3002Python \u53ef\u4ee5\u505a A.I. \u53ef\u4ee5\u505a\u6578\u64da\u5206\u6790\uff0cRuby \u6709\u5f88\u597d\u7684 OO \u7269\u4ef6\u5c0e\u5411\u8a2d\u8a08\uff0c\u505a\u61c9\u7528\u7a0b\u5f0f\u975e\u5e38\u9069\u5408\uff0c\u662f\u53ef\u4ee5\u4e92\u88dc\u7684\u3002\u53cd\u800c\u4f8b\u5982\u53bb\u5b78 Elixir \u8ddf\u7528 Ruby \u4e00\u6a23\u662f\u505a Web \u958b\u767c\uff0c\u5c0d\u500b\u4eba\u7684\u6280\u80fd\u767c\u5c55\u6211\u8a8d\u70ba\u662f\u91cd\u758a\u7684\u3002<\/p>\n<blockquote class=\"twitter-tweet\" data-lang=\"en\">\n<p lang=\"ja\" dir=\"ltr\">1. Python \u662f Ruby \u505a Data Science \u6700\u597d\u7684\u670b\u53cb 2. \u900f\u904e PyCall <a href=\"https:\/\/t.co\/wbOpvsmP58\">t.co\/wbOpvsmP58<\/a> \u5c31\u53ef\u4ee5\u8abf\u7528 Pandas, seaborn, matplotlib, scikit-learn, Keras \u7b49\u7b49\u5de5\u5177 <a href=\"https:\/\/t.co\/FTR109BVyx\">t.co\/FTR109BVyx<\/a><\/p>\n<p>&mdash; i\u035bho\u034c\u036f\u0366\u0309\u0351we\u030d\u0303\u030f\u0363r\u0306\u033d\u0313 (@ihower) <a href=\"https:\/\/twitter.com\/ihower\/status\/910885775507562496?ref_src=twsrc%5Etfw\">September 21, 2017<\/a><\/p><\/blockquote>\n<p><script async src=\"\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A brief introduction to Machine Learning from Wen-Tien  &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/ihower.tw\/blog\/8804-machine-learning\" class=\"more-link\">\u95b1\u8b80\u5168\u6587<span class=\"screen-reader-text\">\u3008A brief introduction to Machine Learning \u6295\u5f71\u7247\u3009<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[31],"tags":[],"class_list":["post-8804","post","type-post","status-publish","format-standard","hentry","category-ruby","entry"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p1q6tG-2i0","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts\/8804","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/comments?post=8804"}],"version-history":[{"count":11,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts\/8804\/revisions"}],"predecessor-version":[{"id":8824,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/posts\/8804\/revisions\/8824"}],"wp:attachment":[{"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/media?parent=8804"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/categories?post=8804"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ihower.tw\/blog\/wp-json\/wp\/v2\/tags?post=8804"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}