{"id":2259,"date":"2019-11-15T00:17:30","date_gmt":"2019-11-14T15:17:30","guid":{"rendered":"https:\/\/julialang.kr\/?p=2259"},"modified":"2019-11-15T01:36:46","modified_gmt":"2019-11-14T16:36:46","slug":"julia%ec%97%90%ec%84%9c-%ec%8b%9c%ea%b3%84%ec%97%b4-%eb%8d%b0%ec%9d%b4%ed%84%b0-%ec%b2%98%eb%a6%ac-%ec%98%88%ec%a0%9c","status":"publish","type":"post","link":"https:\/\/julialang.kr\/?p=2259","title":{"rendered":"Julia\uc5d0\uc11c \uc2dc\uacc4\uc5f4 \ub370\uc774\ud130 \ucc98\ub9ac \uc608\uc81c (1#2)"},"content":{"rendered":"\n<figure class=\"wp-block-image is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/julialang.kr\/wp-content\/uploads\/2019\/11\/2019115-ML-Approach-for-time-series-1024x429.png\" alt=\"\" class=\"wp-image-2264\" width=\"576\" height=\"241\" srcset=\"https:\/\/julialang.kr\/wp-content\/uploads\/2019\/11\/2019115-ML-Approach-for-time-series-1024x429.png 1024w, https:\/\/julialang.kr\/wp-content\/uploads\/2019\/11\/2019115-ML-Approach-for-time-series-300x126.png 300w, https:\/\/julialang.kr\/wp-content\/uploads\/2019\/11\/2019115-ML-Approach-for-time-series-768x322.png 768w, https:\/\/julialang.kr\/wp-content\/uploads\/2019\/11\/2019115-ML-Approach-for-time-series.png 1090w\" sizes=\"(max-width: 576px) 100vw, 576px\" \/><\/figure>\n\n\n\n<p><a rel=\"noreferrer noopener\" aria-label=\"ML Approaches for Time Series (\uc0c8\ud0ed\uc73c\ub85c \uc5f4\uae30)\" href=\"https:\/\/towardsdatascience.com\/ml-approaches-for-time-series-4d44722e48fe\" target=\"_blank\">ML Approaches for Time Series<\/a>  \uc5d0\uc11c \ud30c\uc774\uc36c\uc73c\ub85c \uad6c\uc131\ub41c \ubd80\ubd84\uc744 \uc904\ub9ac\uc544(Julia)\ub85c \ub2e4\uc2dc \ucf54\ub529 \ud558\uace0 \ud14c\uc2a4\ud2b8 \ud574\ubcf4\ub294 \uac83\uc774 \ubaa9\uc801\uc774\ub2e4.<\/p>\n\n\n\n<p>\ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc0dd\uc131\ud558\ub294 \ubaa8\ub4c8\uacfc 2.Genetic programming:Symbolic Regrssion\uc5d0 \ucd08\uc810\uc744 \uba4e\ucd94\uc5b4 Julia\uc5b8\uc5b4\ub85c \ub2e4\uc2dc \ucf54\ub529\ud558\uace0 \ud14c\uc2a4\ud2b8 \ud574\ubcf8\ub2e4.<\/p>\n\n\n\n<p>\ub610 \ub2e4\ub978 \ubaa9\uc801\uc740 <a rel=\"noreferrer noopener\" aria-label=\"ExprOptimization  (\uc0c8\ud0ed\uc73c\ub85c \uc5f4\uae30)\" href=\"https:\/\/github.com\/sisl\/ExprOptimization.jl\" target=\"_blank\">ExprOptimization <\/a>\uc904\ub9ac\uc544 \ud328\ud0a4\uc9c0\ub97c \uc0ac\uc6a9\ud574 \ubcf4\ub294 \uac83\ub3c4 \ud3ec\ud568\ub418\uc5b4 \uc788\ub2e4.<\/p>\n\n\n\n<p>Pyton\ucf54\ub4dc\ub97c Julia \ucf54\ub4dc\ub85c \ubcc0\ud658\ud55c \uc608\uc81c\uac00 \uc544\ub798 \uc788\uc73c\ub2c8 \ud074\ub9ad\ud558\uc5ec \ubcfc \uc218 \uc788\ub2e4.<\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" aria-label=\"\uc608\uc81c\ubcf4\uae30  (\uc0c8\ud0ed\uc73c\ub85c \uc5f4\uae30)\" href=\"https:\/\/julialang.kr\/wp-content\/uploads\/2019\/11\/MLApproachesforTimeSeries-1.html\" target=\"_blank\">\uc608\uc81c\ubcf4\uae30 <\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>ML Approaches for Time Series \uc5d0\uc11c \ud30c\uc774\uc36c\uc73c\ub85c \uad6c\uc131\ub41c \ubd80\ubd84\uc744 \uc904\ub9ac\uc544(Julia)\ub85c \ub2e4\uc2dc \ucf54\ub529 \ud558\uace0 \ud14c\uc2a4\ud2b8 \ud574\ubcf4\ub294 \uac83\uc774 \ubaa9\uc801\uc774\ub2e4. \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \uc0dd\uc131\ud558\ub294 \ubaa8\ub4c8\uacfc 2.Genetic programming:Symbolic Regrssion\uc5d0 \ucd08\uc810\uc744 \uba4e\ucd94\uc5b4 Julia\uc5b8\uc5b4\ub85c \ub2e4\uc2dc \ucf54\ub529\ud558\uace0 \ud14c\uc2a4\ud2b8 \ud574\ubcf8\ub2e4. \ub610 \ub2e4\ub978 \ubaa9\uc801\uc740 ExprOptimization \uc904\ub9ac\uc544 \ud328\ud0a4\uc9c0\ub97c \uc0ac\uc6a9\ud574 \ubcf4\ub294 \uac83\ub3c4 \ud3ec\ud568\ub418\uc5b4 \uc788\ub2e4. Pyton\ucf54\ub4dc\ub97c Julia \ucf54\ub4dc\ub85c \ubcc0\ud658\ud55c \uc608\uc81c\uac00 \uc544\ub798 \uc788\uc73c\ub2c8 \ud074\ub9ad\ud558\uc5ec \ubcfc \uc218 \uc788\ub2e4. \uc608\uc81c\ubcf4\uae30<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[20,22],"tags":[],"_links":{"self":[{"href":"https:\/\/julialang.kr\/index.php?rest_route=\/wp\/v2\/posts\/2259"}],"collection":[{"href":"https:\/\/julialang.kr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/julialang.kr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/julialang.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/julialang.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2259"}],"version-history":[{"count":3,"href":"https:\/\/julialang.kr\/index.php?rest_route=\/wp\/v2\/posts\/2259\/revisions"}],"predecessor-version":[{"id":2266,"href":"https:\/\/julialang.kr\/index.php?rest_route=\/wp\/v2\/posts\/2259\/revisions\/2266"}],"wp:attachment":[{"href":"https:\/\/julialang.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2259"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/julialang.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2259"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/julialang.kr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}