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    Bayes teoremi

    İstatistiksel Kavram
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    Yazeka

    Arama sonuçlarına dayanarak oluşturuldu

    Bayes teoremi, bir olayın koşullu olasılığını hesaplamak için kullanılan matematiksel bir formüldür. İngiliz matematikçi Thomas Bayes tarafından 18. yüzyılda geliştirilmiş ve sonradan istatistikte temel bir araç haline gelmiştir.

    Temel prensibi, yeni kanıtlar ışığında olasılık değerlerinin güncellenmesine dayanır. Örneğin, bir hastalığın test sonucuyla doğrulanma olasılığını veya bir hipotezin doğruluğunu değerlendirmede kullanılır.

    Günümüzde yapay zeka, makine öğrenimi ve nörobilim gibi alanlarda belirsizlik yönetiminde yaygın şekilde uygulanmaktadır. Ayrıca finans ve tıpta risk analizi ve tanı süreçlerinde etkilidir.

    Daha fazla
    researchgate.net
    doktorfizik.com
    dergipark.org.tr
    coinkolik.com

    İlgili gündem

    Bayesçi çıkarım, hayatımızda sıkça kullandığımız ama çoğu zaman fark etmediğimiz matematiksel bir yöntemdir. Bu yöntem, elimizdeki ön bilgileri, yeni gelen verilerle birleştirerek ihtimalleri günceller ve daha doğru kararlar almamızı sağlar. Basitçe söylemek gerekirse, yeni bir bilgi elde ettiğimizde düşüncelerimizi değiştirmemizi sağlayan akıllı bir hesaplama yöntemi olarak düşünebilirsiniz.
    yeniasir.com.tr26 Temmuz

    Olasılık teoremleri

    De Moivre-
    Laplace teoremi
    Merkezî
    limit teoremi
    Çebışov
    eşitsizliği
    Büyük
    sayılar yasası
    Sonsuz
    maymun teoremi
    Jensen
    eşitsizliği
    Glivenko-
    Cantelli teoremi
    Kupon
    toplayıcısının problemi
    Khintchine
    eşitsizliği
    Gaussian
    correlation inequality
    Yanıt, yapay zeka tarafından internetteki kaynaklara dayanarak oluşturulmuştur. Hatalar içerebilir.
    Yazeka hakkındatr.wikipedia.org
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