{"id":475995,"date":"2023-08-09T07:25:33","date_gmt":"2023-08-09T07:25:33","guid":{"rendered":""},"modified":"2023-09-05T11:11:48","modified_gmt":"2023-09-05T11:11:48","slug":"bayesian-programming","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/bayesian-programming\/","title":{"rendered":"Bayes programlama"},"content":{"rendered":"

girii\u015f<\/h2>\n

Bayes programlamas\u0131, Bayes \u00e7\u0131kar\u0131m\u0131 ve olas\u0131l\u0131k teorisinin ilkelerinden yararlanarak belirsiz ortamlarda modelleme, ak\u0131l y\u00fcr\u00fctme ve karar verme amac\u0131yla kullan\u0131lan g\u00fc\u00e7l\u00fc bir yakla\u015f\u0131md\u0131r. Yapay zeka, makine \u00f6\u011frenimi, veri analizi, robotik ve karar verme sistemleri dahil olmak \u00fczere \u00e7e\u015fitli alanlardaki karma\u015f\u0131k sorunlar\u0131n \u00fcstesinden gelmek i\u00e7in \u00f6nemli bir ara\u00e7t\u0131r. Bu makale Bayesian programlaman\u0131n temel y\u00f6nlerini, tarihini, i\u00e7 i\u015fleyi\u015fini, t\u00fcrlerini, uygulamalar\u0131n\u0131 ve proxy sunucularla olan potansiyel ili\u015fkisini ke\u015ffetmeyi ama\u00e7lamaktad\u0131r.<\/p>\n

Bayesian Programlaman\u0131n K\u00f6kenleri<\/h2>\n

Bayes programlama kavram\u0131n\u0131n k\u00f6kleri, 18. y\u00fczy\u0131l matematik\u00e7isi ve Presbiteryen papaz\u0131 olan Rahip Thomas Bayes'in \u00e7al\u0131\u015fmalar\u0131na kadar uzan\u0131r. Bayes \u00f6l\u00fcm\u00fcnden sonra, olas\u0131l\u0131klar\u0131 yeni kan\u0131tlara dayal\u0131 olarak g\u00fcncellemek i\u00e7in matematiksel bir \u00e7er\u00e7eve sa\u011flayan \u00fcnl\u00fc Bayes teoremini yay\u0131nlad\u0131. Teoremin temel fikri, sonsal olas\u0131l\u0131klar\u0131 t\u00fcretmek i\u00e7in \u00f6nceki inan\u00e7lar\u0131 g\u00f6zlemlenen verilerle birle\u015ftirmektir. Ancak Bayes y\u00f6ntemlerinin istatistik, bilgisayar bilimi ve yapay zeka gibi \u00e7e\u015fitli bilimsel disiplinlerde \u00f6nem kazanmaya ba\u015flamas\u0131 ancak 20. y\u00fczy\u0131la kadar m\u00fcmk\u00fcn oldu.<\/p>\n

Bayes Programlamas\u0131n\u0131 Anlamak<\/h2>\n

Bayes programlaman\u0131n \u00f6z\u00fcnde belirsiz sistemleri temsil eden modeller olu\u015fturmak ve yeni veriler ortaya \u00e7\u0131kt\u0131k\u00e7a bu modelleri g\u00fcncellemekle ilgilenir. Bayes programlaman\u0131n ana bile\u015fenleri \u015funlar\u0131 i\u00e7erir:<\/p>\n

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  1. \n

    Olas\u0131l\u0131ksal Modeller<\/strong>: Bu modeller de\u011fi\u015fkenler aras\u0131ndaki olas\u0131l\u0131ksal ili\u015fkileri kodlar ve belirsizlikleri olas\u0131l\u0131k da\u011f\u0131l\u0131mlar\u0131n\u0131 kullanarak temsil eder.<\/p>\n<\/li>\n

  2. \n

    \u00c7\u0131kar\u0131m Algoritmalar\u0131<\/strong>: Bu algoritmalar \u00f6nceki bilgileri yeni kan\u0131tlarla birle\u015ftirerek son olas\u0131l\u0131klar\u0131n hesaplanmas\u0131na olanak sa\u011flar.<\/p>\n<\/li>\n

  3. \n

    Karar verme<\/strong>: Bayes programlamas\u0131, olas\u0131l\u0131ksal ak\u0131l y\u00fcr\u00fctmeye dayal\u0131 kararlar almak i\u00e7in ilkeli bir \u00e7er\u00e7eve sa\u011flar.<\/p>\n<\/li>\n

  4. \n

    Bayes A\u011flar\u0131<\/strong>: Bayes programlamas\u0131nda de\u011fi\u015fkenler aras\u0131ndaki ba\u011f\u0131ml\u0131l\u0131klar\u0131 modellemek i\u00e7in kullan\u0131lan pop\u00fcler bir grafiksel g\u00f6sterim.<\/p>\n<\/li>\n<\/ol>\n

    Bayes Programlaman\u0131n \u0130\u00e7 Yap\u0131s\u0131<\/h2>\n

    Bayes programlaman\u0131n temeli, a\u015fa\u011f\u0131daki \u015fekilde form\u00fcle edilen Bayes teoreminde yatmaktad\u0131r:<\/p>\n

    P<\/mi>(<\/mo>A<\/mi>\u2223<\/mi>B<\/mi>)<\/mo>=<\/mo>P<\/mi>(<\/mo>B<\/mi>\u2223<\/mi>A<\/mi>)<\/mo>\u22c5<\/mo>P<\/mi>(<\/mo>A<\/mi>)<\/mo><\/mrow>P<\/mi>(<\/mo>B<\/mi>)<\/mo><\/mrow><\/mfrac><\/mrow>P(A|B) = frac{P(B|A) cdot P(A)}{P(B)}<\/annotation><\/semantics><\/math><\/span><\/span>P<\/span>(<\/span>A<\/span>\u2223<\/span>B<\/span>)<\/span><\/span>=<\/span><\/span><\/span><\/span><\/span><\/span>P<\/span>(<\/span>B<\/span>)<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>P<\/span>(<\/span>B<\/span>\u2223<\/span>A<\/span>)<\/span>\u22c5<\/span>P<\/span>(<\/span>A<\/span>)<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

    Neresi:<\/p>\n