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    Makine öğrenimi

    Makine Öğrenimi
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    Yazeka

    Arama sonuçlarına dayanarak oluşturuldu

    Makine öğrenimi, bilgisayar sistemlerinin verilerden öğrenmesini ve performansını artırmasını sağlayan bir yapay zeka alt dalıdır. Denetimli, denetimsiz, yarı denetimli ve pekiştirmeli gibi türleri bulunur.

    Temel çalışma prensibi, algoritmaların veri kümelerini analiz ederek örüntüleri keşfetmesi ve bu bilgileri tahminlerde kullanmak üzere model oluşturmasıdır. Örneğin, spam filtreleme veya tıbbi görüntü analizi gibi görevlerde kullanılır.

    Makine öğrenimi, otomasyon, kişiselleştirme ve risk yönetimi gibi alanlarda yaygın olarak tercih edilir. Sağlık, finans ve perakende gibi sektörlerde veri odaklı karar almayı destekler.

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    İlgili gündem

    Nilüfer İnovasyon Merkezi tarafından “Makine Öğrenmesi ve Derin Öğrenme” eğitimi gerçekleştirildi.
    olay.com.tr13 Ekim
    Yanıt, yapay zeka tarafından internetteki kaynaklara dayanarak oluşturulmuştur. Hatalar içerebilir.
    Yazeka hakkındatr.wikipedia.org
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