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    Bayes teoremi

    İstatistiksel Kavram
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    Genel bilgiler

    Bayes Teoremi, bilinen bazı olayların ışığında, başka bir olayın olasılığını tahmin etmek için kullanılır.

    Bu teoremin temelinde, prior (önceden veri) ve posterior (sonradan elde edilen veri) olasılıkları yer alır. Prior olasılık, olay hakkında önceden sahip olduğumuz bilgilere dayanırken, posterior olasılık, yeni bilgilerin dikkate alındığı sonuç olasılığıdır. Bayes Teoremi, bu iki olasılık arasındaki ilişkiyi açıklar.

    Bayes teoremi, özellikle istatistik, makine öğrenimi, yapay zeka ve veri analizi gibi alanlarda yaygın olarak kullanılır.

    www.zfcakademi.com

    Olasılık teoremleri

    De Moivre–Laplace
    theorem
    Çebışov
    eşitsizliği
    Merkezî
    limit teoremi
    Sonsuz
    maymun teoremi
    Glivenko–Cantelli
    theorem
    Kupon
    toplayıcısının problemi
    Donsker's
    theorem
    Reflection
    principle
    Kaynak veriler bazında Yandex nöral ağları tarafından oluşturuldu; yanlışlıklar olabilir. Lütfen önemli bilgileri kontrol ediniz
    tr.wikipedia.org
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