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    Bayes teoremi

    İstatistiksel Kavram
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    Yazeka

    Arama sonuçlarına dayanarak oluşturuldu

    Bayes teoremi, olasılık ve istatistikte koşullu olasılıkları hesaplamak için kullanılan matematiksel bir formüldür. Thomas Bayes tarafından 18. yüzyılda geliştirilmiş olup, yeni kanıtlar ışığında mevcut inançların güncellenmesini sağlar.123

    Tıp, yapay zeka ve finans gibi alanlarda yaygın olarak kullanılır. Örneğin, tıbbi test sonuçlarının doğruluğunu veya bir hastalığın olasılığını belirlemek için temel oluşturur.34

    Teorem, önceki olasılık (prior) ve olasılık yoğunluğu (likelihood) kavramlarını birleştirerek belirsiz durumlarda karar vermeyi kolaylaştırır.4

    researchgate.net1
    en.wikipedia.org2
    coinkolik.com3
    zfcakademi.com4

    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
    theorem
    Merkezî
    limit teoremi
    Çebışov
    eşitsizliği
    Büyük
    sayılar yasası
    Sonsuz
    maymun teoremi
    Jensen
    eşitsizliği
    Markov's
    inequality
    Glivenko–Cantelli
    theorem
    Kupon
    toplayıcısının problemi
    Khintchine
    inequality
    Tüm liste
    Yanıt, yapay zeka tarafından internetteki kaynaklara dayanarak oluşturulmuştur. Hatalar içerebilir.
    Yazeka hakkındatr.wikipedia.org
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