{"id":28801,"date":"2024-10-27T16:15:08","date_gmt":"2024-10-27T16:15:08","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=28801"},"modified":"2024-11-26T06:57:33","modified_gmt":"2024-11-26T06:57:33","slug":"%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-%eb%b0%8f-%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%95%8c%ea%b3%a0%eb%a6%ac%ec%a6%98-%ed%8a%b8%eb%a0%88%ec%9d%b4%eb%94%a9-%ea%b1%b0%eb%9e%98%eb%a5%bc-%ec%9c%84%ed%95%9c","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/28801\/","title":{"rendered":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uac70\ub798\ub97c \uc704\ud55c \uba38\uc2e0\ub7ec\ub2dd \uc0ac\uc6a9 \uc0ac\ub840"},"content":{"rendered":"<p><body><\/p>\n<p>\ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548, \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c\uc758 \uc790\ub3d9\ud654 \ubc0f \ub370\uc774\ud130 \uae30\ubc18 \uac70\ub798 \uc804\ub7b5\uc758 \ud544\uc694\uc131\uc774 \uc99d\uac00\ud558\uba74\uc11c \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\uc220\uc774 \uac01\uad11\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0\uc11c \uba38\uc2e0\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0 \uc608\uce21\ud558\ub294\ub370 \uac15\ub825\ud55c \ub3c4\uad6c\ub85c \uc791\uc6a9\ud558\uba70, \uc774\ub97c \ud1b5\ud574 \ub354 \ub098\uc740 \uac70\ub798 \uacb0\uc815\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ucd08 \ubc0f \uc2e4\uc81c \uc0ac\uc6a9 \uc0ac\ub840\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \uba38\uc2e0\ub7ec\ub2dd\uc758 \uae30\ubcf8 \uc774\ud574<\/h2>\n<p>\uba38\uc2e0\ub7ec\ub2dd\uc740 \ucef4\ud4e8\ud130\uac00 \ub370\uc774\ud130\uc5d0\uc11c \ud559\uc2b5\ud558\uace0 \ud2b9\uc815 \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4. \uae30\ubcf8\uc801\uc73c\ub85c \ub370\uc774\ud130\uc758 \ud328\ud134\uc744 \uc778\uc2dd\ud558\uc5ec \ubbf8\ub798\uc758 \uacbd\ud5a5\uc774\ub098 \ud589\ub3d9\uc744 \uc608\uce21\ud569\ub2c8\ub2e4. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0\uc11c \uba38\uc2e0\ub7ec\ub2dd\uc740 \uc8fc\uc2dd, \ucc44\uad8c, \uc0c1\ud488, \uc678\ud658 \ub4f1\uc758 \uc2dc\uc7a5 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0 \uc608\uce21\ud558\ub294\ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<h3>1.1 \uba38\uc2e0\ub7ec\ub2dd\uc758 \uc885\ub958<\/h3>\n<p>\uba38\uc2e0\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uc740 \ud06c\uac8c \uc138 \uac00\uc9c0\ub85c \ub098\ub204\uc5b4\uc9d1\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\uc9c0\ub3c4 \ud559\uc2b5 (Supervised Learning)<\/strong>: \ub808\uc774\ube14\uc774 \uc788\ub294 \ub370\uc774\ud130\uc14b\uc744 \uae30\ubc18\uc73c\ub85c \ubaa8\ub378\uc744 \ud559\uc2b5\uc2dc\ud0b5\ub2c8\ub2e4. \uc608\uce21\ud558\uace0\uc790 \ud558\ub294 \ubaa9\ud45c\ubcc0\uc218 (\uc885\uc18d\ubcc0\uc218)\uac00 \uba85\ud655\ud788 \uc874\uc7ac\ud558\ub294 \uacbd\uc6b0\uc785\ub2c8\ub2e4.<\/li>\n<li><strong>\ube44\uc9c0\ub3c4 \ud559\uc2b5 (Unsupervised Learning)<\/strong>: \ub808\uc774\ube14\uc774 \uc5c6\ub294 \ub370\uc774\ud130\uc5d0\uc11c \uc228\uaca8\uc9c4 \ud328\ud134\uc744 \ucc3e\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ud074\ub7ec\uc2a4\ud130\ub9c1\uc774\ub098 \ucc28\uc6d0 \ucd95\uc18c \uae30\ubc95\uc774 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/li>\n<li><strong>\uac15\ud654 \ud559\uc2b5 (Reinforcement Learning)<\/strong>: \uc5d0\uc774\uc804\ud2b8\uac00 \ud658\uacbd\uacfc \uc0c1\ud638\uc791\uc6a9\ud558\uba74\uc11c \ubcf4\uc0c1\uc744 \ucd5c\uc801\ud654\ud558\ub3c4\ub85d \ud559\uc2b5\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc8fc\ub85c \ub85c\ubd07\uacf5\ud559\uc774\ub098 \uac8c\uc784\uc5d0\uc11c \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>2. \ub525\ub7ec\ub2dd\uc758 \uc5ed\ud560<\/h2>\n<p>\ub525\ub7ec\ub2dd\uc740 \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud55c \ubd84\uc57c\ub85c, \uc778\uacf5\uc2e0\uacbd\ub9dd(Artificial Neural Network)\uc744 \uae30\ubc18\uc73c\ub85c \ud55c \ubaa8\ub378\uc785\ub2c8\ub2e4. \uc5ec\ub7ec \uce35\uc758 \ub274\ub7f0\uc744 \uc0ac\uc6a9\ud558\uc5ec \ube44\uc120\ud615 \ud568\uc218\uc640 \ubcf5\uc7a1\ud55c \ud328\ud134\uc744 \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub525\ub7ec\ub2dd\uc740 \ud2b9\ud788 \uc774\ubbf8\uc9c0 \ubc0f \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc5d0 \uac15\ud55c \uc131\ub2a5\uc744 \ubcf4\uc774\uba70, \uc774\uc5d0 \ub530\ub77c \uae08\uc735 \ub370\uc774\ud130\uc758 \ub2e4\uc591\ud55c \ud615\ud0dc\ub97c \ucc98\ub9ac\ud558\ub294 \ub370\uc5d0\ub3c4 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4.<\/p>\n<h3>2.1 \ub525\ub7ec\ub2dd\uc758 \uad6c\uc870<\/h3>\n<p>\ub525\ub7ec\ub2dd \ub124\ud2b8\uc6cc\ud06c\ub294 \uc5ec\ub7ec \uac1c\uc758 \uce35\uc73c\ub85c \uad6c\uc131\ub418\uba70, \uac01 \uce35\uc740 \ub274\ub7f0\uc73c\ub85c \uc774\ub8e8\uc5b4\uc838 \uc788\uc2b5\ub2c8\ub2e4. \uc785\ub825\uce35, \uc740\ub2c9\uce35, \ucd9c\ub825\uce35\uc73c\ub85c \ub098\ub204\uc5b4\uc9c0\uba70, \uac01 \uce35\uc758 \ub274\ub7f0\uc740 \uac00\uc911\uce58(weight)\uc640 \ud3b8\ud5a5(bias)\uc744 \ud1b5\ud574 \uc5f0\uacb0\ub429\ub2c8\ub2e4. \ud559\uc2b5 \uacfc\uc815\uc5d0\uc11c \uac00\uc911\uce58\ub294 \ucd5c\uc801\ud654\ub418\uc5b4 \ub370\uc774\ud130\ub97c \ub354\uc6b1 \uc798 \uc608\uce21\ud558\ub3c4\ub85d \uc870\uc815\ub429\ub2c8\ub2e4.<\/p>\n<h2>3. \uba38\uc2e0\ub7ec\ub2dd \uae30\ubc18 \uac70\ub798 \uc804\ub7b5<\/h2>\n<p>\uba38\uc2e0\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uac70\ub798 \uc804\ub7b5\uc740 \ub2e4\uc591\ud55c \ud615\ud0dc\ub85c \uc874\uc7ac\ud569\ub2c8\ub2e4. \uc5ec\uae30\uc5d0 \uba87 \uac00\uc9c0 \uc8fc\uc694 \uc0ac\ub840\ub97c \ub4e4\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>3.1 \uc8fc\uac00 \uc608\uce21<\/h3>\n<p>\uba38\uc2e0\ub7ec\ub2dd\uc758 \uc8fc\uc694 \ud65c\uc6a9 \uc911 \ud558\ub098\ub294 \uc8fc\uac00 \uc608\uce21\uc785\ub2c8\ub2e4. \uacfc\uac70\uc758 \uc8fc\uac00 \ub370\uc774\ud130\ub97c \uae30\ubc18\uc73c\ub85c \ub2e4\uc591\ud55c \ud2b9\uc131(feature)\uc744 \ub3c4\ucd9c\ud558\uc5ec \uc8fc\uac00\uc758 \uc0c1\uc2b9 \ubc0f \ud558\ub77d\uc744 \uc608\uce21\ud558\ub294 \ubaa8\ub378\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc608\uce21 \ubaa8\ub378\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uc54c\uace0\ub9ac\uc998\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/p>\n<ul>\n<li>\uc120\ud615 \ud68c\uadc0 (Linear Regression)<\/li>\n<li>\uacb0\uc815 \ud2b8\ub9ac (Decision Tree)<\/li>\n<li>\ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8 (Random Forest)<\/li>\n<li>\uc11c\ud3ec\ud2b8 \ubca1\ud130 \uba38\uc2e0 (Support Vector Machine)<\/li>\n<li>LSTM (Long Short-Term Memory)<\/li>\n<\/ul>\n<h3>3.2 \ud3ec\ud2b8\ud3f4\ub9ac\uc624 \ucd5c\uc801\ud654<\/h3>\n<p>\uba38\uc2e0\ub7ec\ub2dd\uc740 \ud3ec\ud2b8\ud3f4\ub9ac\uc624 \uad00\ub9ac\uc5d0\ub3c4 \ud65c\uc6a9\ub429\ub2c8\ub2e4. \ub2e4\uc591\ud55c \uc790\uc0b0 \uac04\uc758 \uc0c1\uad00\uad00\uacc4\ub97c \ud559\uc2b5\ud558\uc5ec \uc704\ud5d8 \ub300\ube44 \uc218\uc775\uc744 \ucd5c\uc801\ud654\ud558\ub294 \ubc29\ubc95\uc744 \uc5f0\uad6c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uac15\ud654 \ud559\uc2b5 \uc54c\uace0\ub9ac\uc998\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub9e4\uc218 \ubc0f \ub9e4\ub3c4 \uacb0\uc815\uc744 \uc790\ub3d9\uc73c\ub85c \uc218\ud589\ud558\uace0, \uc774\ub97c \ud1b5\ud574 \ucd5c\uc801\uc758 \ud3ec\ud2b8\ud3f4\ub9ac\uc624\ub97c \uad6c\uc131\ud569\ub2c8\ub2e4.<\/p>\n<h3>3.3 \uc2dc\uc7a5 \ubbf8\uc138 \uad6c\uc870 \ubd84\uc11d<\/h3>\n<p>\uc2dc\uc7a5\uc758 \ubbf8\uc138 \uad6c\uc870\ub97c \ubd84\uc11d\ud558\uba74 \uc704\ud5d8 \uc694\uc18c\ub97c \uc904\uc774\uace0, \ub354 \ub098\uc740 \ub9e4\ub9e4 \ud0c0\uc774\ubc0d\uc744 \uc7a1\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uba38\uc2e0\ub7ec\ub2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac70\ub798\ub7c9, \uac00\uaca9 \ubcc0\ub3d9\uc131, \uc7ac\uace0 \uc218\uc900 \ub4f1\uc758 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uba74 \uc2dc\uc7a5\uc758 \uc77c\ubc18\uc801\uc778 \ud328\ud134\uc744 \ucc3e\uc544\ub0b4\uace0, \uc774\ub97c \ud1b5\ud574 \uc815\ubcf4\uc5d0 \uae30\ucd08\ud55c \uc804\ub7b5\uc744 \uac1c\ubc1c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>4. \uac70\ub798\ub97c \uc704\ud55c \uba38\uc2e0\ub7ec\ub2dd \uc0ac\uc6a9 \uc0ac\ub840<\/h2>\n<p>\uba38\uc2e0\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc2e4\uc81c \uac70\ub798 \uc0ac\ub840\ub97c \uc0b4\ud3b4\ubcf4\uba74, \ub354\uc6b1 \uad6c\uccb4\uc801\uc778 \uc774\ud574\ub97c \ub3d5\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4.1 \uc0ac\ub840 1: \ud000\ud2b8 \ud380\ub4dc\uc758 \uba38\uc2e0\ub7ec\ub2dd \ud65c\uc6a9<\/h3>\n<p>\uc5ec\ub7ec \ud000\ud2b8 \ud380\ub4dc\ub294 \uba38\uc2e0\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub2e4\uc591\ud55c \uae08\uc735 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ucc3e\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc54c\uace0\ub9ac\uc998\uc740 \ub274\uc2a4 \uae30\uc0ac, \uc18c\uc15c \ubbf8\ub514\uc5b4 \ub370\uc774\ud130, \uc7ac\ubb34\uc81c\ud45c \ub4f1\uc5d0\uc11c \uc758\ubbf8 \uc788\ub294 \uc815\ubcf4\ub97c \ucd94\ucd9c\ud558\uc5ec \ud3ec\ud2b8\ud3f4\ub9ac\uc624 \uad6c\uc131\uc5d0 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, AQR Capital Management\ub294 \uc790\uc5f0\uc5b4 \ucc98\ub9ac(NLP) \uae30\uc220\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub274\uc2a4 \ub370\uc774\ud130\uc758 \uac10\uc131 \ubd84\uc11d\uc744 \ud1b5\ud574 \uc8fc\uac00 \ud589\ub3d9\uc744 \uc608\uce21\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4.2 \uc0ac\ub840 2: \uc54c\ud30c\uace0\uc640 \uac15\ud654 \ud559\uc2b5<\/h3>\n<p>\uad6c\uae00 \ub525\ub9c8\uc778\ub4dc\uc758 \uc54c\ud30c\uace0\ub294 \ubc14\ub451\uc5d0\uc11c \uc778\uac04 \ucd5c\uace0\uc218\ub97c \uc774\uae34 \uc720\uba85\ud55c AI \ud504\ub85c\uadf8\ub7a8\uc785\ub2c8\ub2e4. \uac15\ud654 \ud559\uc2b5\uc744 \ud1b5\ud574 \uc2a4\uc2a4\ub85c \uac8c\uc784\uc744 \ud558\uba74\uc11c \ud559\uc2b5\ud558\ub294 \uad6c\uc870\ub85c \ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uae30\uc220\uc740 \uae08\uc735\uc5d0\uc11c\ub3c4 \uc0ac\uc6a9\ub420 \uc218 \uc788\uc73c\uba70, \uc2dc\uc7a5 \uc0c1\ud669\uacfc \uc0c1\ud638\uc791\uc6a9\ud558\uc5ec \uac00\uc7a5 \ub192\uc740 \uc218\uc775\uc744 \uac00\uc838\uc624\ub294 \uc804\ub7b5\uc744 \ud559\uc2b5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4.3 \uc0ac\ub840 3: \uc18c\uc15c \ubbf8\ub514\uc5b4 sentiment analysis<\/h3>\n<p>\uc18c\uc15c \ubbf8\ub514\uc5b4\uc5d0\uc11c\uc758 \uc5b8\uae09\ub7c9\uc774\ub098 \uac10\uc815 \ubd84\uc11d\uc744 \ud1b5\ud574 \ud2b9\uc815 \uc8fc\uc2dd\uc774\ub098 \uc790\uc0b0\uc5d0 \ub300\ud55c \uc2dc\uc7a5\uc758 \ubc18\uc751\uc744 \ud30c\uc545\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc8fc\uac00\uac00 \uae09\uaca9\ud788 \ubcc0\ud654\ud558\ub294 \uc2dc\uc810\uc5d0 \uc18c\uc15c \ubbf8\ub514\uc5b4\uc5d0\uc11c \uc5b4\ub5a4 \uc774\uc57c\uae30\uac00 \uc624\uac14\ub294\uc9c0\ub97c \ubd84\uc11d\ud558\uc5ec, \uc8fc\uac00\uc758 \ubcc0\ub3d9 \uc608\uce21 \ubaa8\ub378\uc5d0 \ucd94\uac00\ud560 \uc218 \uc788\ub294 \uc815\ubcf4\ub85c \ud65c\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>5. \uba38\uc2e0\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \uad6c\ud604 \uc608\uc2dc<\/h2>\n<p>\uc774\uc81c \uba38\uc2e0\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998\uc744 \uc2e4\uc81c\ub85c \uc5b4\ub5bb\uac8c \uad6c\ud604\ud560 \uc218 \uc788\ub294\uc9c0\ub97c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. Python\uc758 Scikit-learn\uacfc Keras \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud55c \uac04\ub2e8\ud55c \uc8fc\uac00 \uc608\uce21 \ubaa8\ub378 \uc608\uc81c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>\n<pre><code>import numpy as np\nimport pandas as pd\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.ensemble import RandomForestRegressor\nimport matplotlib.pyplot as plt\n\n# \ub370\uc774\ud130 \ub85c\ub4dc\ndata = pd.read_csv('stock_prices.csv')\nX = data[['feature1', 'feature2']]  # \ud544\uc694\ud55c \ud2b9\uc131\ub4e4\ny = data['target']  # \uc8fc\uac00 \uc608\uce21 \ubaa9\ud45c\n\n# \ub370\uc774\ud130 \ubd84\ud560\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n\n# \ubaa8\ub378 \ud559\uc2b5\nmodel = RandomForestRegressor(n_estimators=100)\nmodel.fit(X_train, y_train)\n\n# \uc608\uce21\npredictions = model.predict(X_test)\n\n# \uacb0\uacfc \uc2dc\uac01\ud654\nplt.scatter(y_test, predictions)\nplt.xlabel('\uc2e4\uc81c \uc8fc\uac00')\nplt.ylabel('\uc608\uce21 \uc8fc\uac00')\nplt.title('Random Forest \uc8fc\uac00 \uc608\uce21')\nplt.show()<\/code><\/pre>\n<h2>6. \uacb0\ub860<\/h2>\n<p>\uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc740 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc911\uc694\ud55c \ub3c4\uad6c\ub85c \uc790\ub9ac \uc7a1\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc2dc\uc7a5 \ub370\uc774\ud130 \ubd84\uc11d, \uc608\uce21, \ud3ec\ud2b8\ud3f4\ub9ac\uc624 \ucd5c\uc801\ud654 \ub4f1 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \uadf8 \uc7a0\uc7ac\ub825\uc744 \ubcf4\uc5ec\uc8fc\uace0 \uc788\uc73c\uba70, \uc55e\uc73c\ub85c \uadf8 \ud65c\uc6a9\uc131\uc740 \ub354\uc6b1 \ub192\uc544\uc9c8 \uac83\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uae30\uc220\ub4e4\uc744 \ud1b5\ud574 \ub354 \ub098\uc740 \uac70\ub798 \uc804\ub7b5\uacfc \uacb0\uc815\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc744 \uac83\uc73c\ub85c \uae30\ub300\ub429\ub2c8\ub2e4.<\/p>\n<p>\uc790\uc138\ud55c \ub0b4\uc6a9\uc774\ub098 \ucd94\uac00\uc801\uc778 \uc0ac\ub840\uc5d0 \ub300\ud55c \ubb38\uc758\ub294 \uc790\uc720\ub86d\uac8c \ub313\uae00\ub85c \ub0a8\uaca8\uc8fc\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n<p>\uac10\uc0ac\ud569\ub2c8\ub2e4!<\/p>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548, \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c\uc758 \uc790\ub3d9\ud654 \ubc0f \ub370\uc774\ud130 \uae30\ubc18 \uac70\ub798 \uc804\ub7b5\uc758 \ud544\uc694\uc131\uc774 \uc99d\uac00\ud558\uba74\uc11c \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd \uae30\uc220\uc774 \uac01\uad11\ubc1b\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0\uc11c \uba38\uc2e0\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0 \uc608\uce21\ud558\ub294\ub370 \uac15\ub825\ud55c \ub3c4\uad6c\ub85c \uc791\uc6a9\ud558\uba70, \uc774\ub97c \ud1b5\ud574 \ub354 \ub098\uc740 \uac70\ub798 \uacb0\uc815\uc744 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc744 \ud65c\uc6a9\ud55c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uae30\ucd08 \ubc0f \uc2e4\uc81c \uc0ac\uc6a9 \uc0ac\ub840\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. 1. \uba38\uc2e0\ub7ec\ub2dd\uc758 \uae30\ubcf8 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/28801\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \uac70\ub798\ub97c \uc704\ud55c \uba38\uc2e0\ub7ec\ub2dd \uc0ac\uc6a9 \uc0ac\ub840&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[29],"tags":[],"class_list":["post-28801","post","type-post","status-publish","format-standard","hentry","category-29"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - 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