{"id":7658,"date":"2022-05-05T15:55:50","date_gmt":"2022-05-05T12:55:50","guid":{"rendered":"https:\/\/www.gadfoundation.com\/?p=7658"},"modified":"2022-12-09T15:18:01","modified_gmt":"2022-12-09T12:18:01","slug":"machinelearning","status":"publish","type":"post","link":"https:\/\/www.gadfoundation.com\/tr\/machinelearning\/","title":{"rendered":"MACHINE LEARNING"},"content":{"rendered":"<div id=\"fws_6ad0a111ea6bc\"  data-column-margin=\"default\" data-midnight=\"dark\"  class=\"wpb_row vc_row-fluid vc_row\"  style=\"padding-top: 0px; padding-bottom: 0px; \"><div class=\"row-bg-wrap\" data-bg-animation=\"none\" data-bg-animation-delay=\"\" data-bg-overlay=\"false\"><div class=\"inner-wrap row-bg-layer\" ><div class=\"row-bg viewport-desktop\"  style=\"\"><\/div><\/div><\/div><div class=\"row_col_wrap_12 col span_12 dark left\">\n\t<div  class=\"vc_col-sm-12 wpb_column column_container vc_column_container col no-extra-padding inherit_tablet inherit_phone\"  data-padding-pos=\"all\" data-has-bg-color=\"false\" data-bg-color=\"\" data-bg-opacity=\"1\" data-animation=\"\" data-delay=\"0\" >\n\t\t<div class=\"vc_column-inner\" >\n\t\t\t<div class=\"wpb_wrapper\">\n\t\t\t\t\r\n<div class=\"wpb_text_column wpb_content_element  wpb_animate_when_almost_visible wpb_fadeInRight fadeInRight\" >\r\n\t<h4 class=\"p1\">Machine learning, bilgisayar sistemlerinin kullan\u0131c\u0131 komutlar\u0131 olmadan, kal\u0131plara, \u00e7\u0131kar\u0131mlara dayanarak g\u00f6revleri etkin bir \u015fekilde ger\u00e7ekle\u015ftirmesini sa\u011flamak i\u00e7in algoritmalar\u0131n ve istatistiksel modellerin uygulanmas\u0131yla ilgili bir yapay zek\u00e2 alt k\u00fcmesidir.<span class=\"Apple-converted-space\">\u00a0<\/span><\/h4>\n<p class=\"p1\">Machine learning algoritmalar\u0131, kendi kendine karar vermek ve tahmin yapmak i\u00e7in ger\u00e7ek d\u00fcnyadaki b\u00fcy\u00fck veri k\u00fcmelerine dayal\u0131 matematiksel bir model olu\u015fturur. Bu t\u00fcr algoritmalar, internet arama motorlar\u0131, e-posta filtreleme, tan\u0131t\u0131m ve metaverse gibi \u00e7e\u015fitli uygulamalarda kullan\u0131l\u0131r. Ger\u00e7ek ten de machine learning y\u00f6ntemlerinin, teorisinin, uygulamalar\u0131n\u0131n temeli, girdilerin anlam\u0131n\u0131n analizinden ziyade hesaplamal\u0131 istatistikler ve matematiksel optimizasyondur.<\/p>\n<p class=\"p1\">Yapay zek\u00e2 mimarl\u0131k d\u00fcnyas\u0131 i\u00e7in de ilham kayna\u011f\u0131d\u0131r. Bir makine kullanarak, girdiler atayarak \u00e7ok fazla insan g\u00fcc\u00fc gerektirebilecek i\u015flerde h\u0131zl\u0131 sonu\u00e7lar elde edebiliriz. Bazen sonu\u00e7 tam olarak istendi\u011fi gibi, bazen de beklenenden daha ileri d\u00fczeyde olur. Sonu\u00e7 olarak, mimari ve ona ba\u011fl\u0131 di\u011fer disiplinler, makine \u00f6\u011frenmesi ve derin \u00f6\u011frenmeyi disiplinlerine dahil ederek farkl\u0131 y\u00f6nlerde ilerlemekte ve geli\u015fmektedir. Biz de GAD binalar\u0131n\u0131 anlamak, \u00e7\u00f6zmek i\u00e7in yapt\u0131\u011f\u0131m\u0131z ara\u015ft\u0131rmada machine learning kulland\u0131k.<\/p>\n<p class=\"p1\">Yapay sinir a\u011flar\u0131n\u0131n GAD stili olarak ne belirledi\u011fini analiz etmek i\u00e7in in\u015fa etti\u011fimiz ve tasarlad\u0131\u011f\u0131m\u0131z binalar\u0131n g\u00f6r\u00fcnt\u00fclerinden olu\u015fan harika bir veri setini birle\u015ftirdik. QR koduna ba\u011fl\u0131 video, GAD binalar\u0131n\u0131n g\u00f6r\u00fcnmeyen alan\u0131 i\u00e7inde y\u00fcr\u00fcyen rastgele bir vekt\u00f6r\u00fc g\u00f6sterir.<\/p>\n<p class=\"p1\">Konunun kendisi yeni bir tecr\u00fcbe alan\u0131 bu y\u00fczden anlatt\u0131klar\u0131m\u0131z, c\u00fcmle kurumlar\u0131m\u0131z kifayetsiz olabilir.<\/p>\n<\/div>\r\n\r\n\r\n\r\n\n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n<\/div><\/div>\r\n\t\t<div id=\"fws_6ad0a111eb38d\"  data-column-margin=\"default\" data-midnight=\"light\" data-top-percent=\"4%\" data-bottom-percent=\"4%\"  class=\"wpb_row vc_row-fluid vc_row\"  style=\"padding-top: calc(100vw * 0.04); padding-bottom: calc(100vw * 0.04); \"><div class=\"row-bg-wrap\" data-bg-animation=\"none\" data-bg-animation-delay=\"\" data-bg-overlay=\"false\"><div class=\"inner-wrap row-bg-layer\" ><div class=\"row-bg viewport-desktop\"  style=\"\"><\/div><\/div><\/div><div class=\"row_col_wrap_12 col span_12 light left\">\n\t<div  class=\"vc_col-sm-12 wpb_column column_container vc_column_container col centered-text has-animation no-extra-padding inherit_tablet inherit_phone\"  data-padding-pos=\"all\" data-has-bg-color=\"false\" data-bg-color=\"\" data-bg-opacity=\"1\" data-animation=\"fade-in-from-bottom\" data-delay=\"0\" >\n\t\t<div class=\"vc_column-inner\" >\n\t\t\t<div class=\"wpb_wrapper\">\n\t\t\t\t<div class=\"nectar-video-box\" data-color=\"accent-color\" data-mouse-style=\"solid_color\" data-mouse-icon-color=\"#ff2d2d\" data-play-button-size=\"default\" data-border-radius=\"none\" data-hover=\"default\" data-shadow=\"\"><div class=\"inner-wrap\"><a href=\"https:\/\/youtu.be\/D8qSbQXu0HA\" class=\"full-link pp\"><span class=\"screen-reader-text\">Play Video<\/span><\/a><img loading=\"lazy\" decoding=\"async\" width=\"1870\" height=\"770\" src=\"https:\/\/www.gadfoundation.com\/wp-content\/uploads\/2022\/05\/Screen-Shot-2022-05-05-at-4.22.20-PM-1870x770.png\" class=\"attachment-large_featured size-large_featured\" alt=\"\" \/><a href=\"https:\/\/youtu.be\/D8qSbQXu0HA\"  data-style=\"default\" data-parent-hover=\"\" data-font-style=\"p\" data-color=\"default\" class=\"play_button_mouse_follow large nectar_video_lightbox pp\"><span><span class=\"screen-reader-text\">Play Video<\/span><span class=\"play\"><span class=\"inner-wrap inner\"><svg role=\"none\" version=\"1.1\"\r\n\t xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" width=\"600px\" height=\"800px\" x=\"0px\" y=\"0px\" viewbox=\"0 0 600 800\" enable-background=\"new 0 0 600 800\" xml:space=\"preserve\"><path fill=\"none\" d=\"M0-1.79v800L600,395L0-1.79z\"><\/path> <\/svg><\/span><\/span><\/span><\/a><\/div><\/div>\n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n<\/div><\/div>","protected":false},"excerpt":{"rendered":"Machine learning is a subset of artificial intelligence that concerns the implementation of algorithms and statistical models to allow computer systems to perform tasks effectively without explicit instructions, relying instead...","protected":false},"author":1,"featured_media":7660,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4,75],"tags":[],"class_list":["post-7658","post","type-post","status-publish","format-standard","has-post-thumbnail","category-design","category-metaverse"],"_links":{"self":[{"href":"https:\/\/www.gadfoundation.com\/tr\/wp-json\/wp\/v2\/posts\/7658","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.gadfoundation.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.gadfoundation.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.gadfoundation.com\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gadfoundation.com\/tr\/wp-json\/wp\/v2\/comments?post=7658"}],"version-history":[{"count":5,"href":"https:\/\/www.gadfoundation.com\/tr\/wp-json\/wp\/v2\/posts\/7658\/revisions"}],"predecessor-version":[{"id":7704,"href":"https:\/\/www.gadfoundation.com\/tr\/wp-json\/wp\/v2\/posts\/7658\/revisions\/7704"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.gadfoundation.com\/tr\/wp-json\/wp\/v2\/media\/7660"}],"wp:attachment":[{"href":"https:\/\/www.gadfoundation.com\/tr\/wp-json\/wp\/v2\/media?parent=7658"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.gadfoundation.com\/tr\/wp-json\/wp\/v2\/categories?post=7658"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.gadfoundation.com\/tr\/wp-json\/wp\/v2\/tags?post=7658"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}