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İçerikte yeni bir notebook oluşturma, Google Drive'a bağlanma, veri seti indirme, pandas kütüphanesi ile veri analizi yapma, çalışma dizini ayarlama, repo indirme, Python dosyalarını çalıştırma ve kütüphane yükleme işlemleri gösterilmektedir.","Eğitim, özellikle iris veri seti üzerinde k-means kümeleme algoritması kullanılarak bir makine öğrenmesi uygulaması ile devam etmekte ve Jupyter Notebook'a benzer bir arayüze sahip olan Google Colab'ın ücretsiz GPU desteği sunduğu bilgisi de paylaşılmaktadır."]},"endTime":890,"title":"Google Colab Eğitim Videosu","beginTime":0}],"fullResult":[{"index":0,"title":"Google Colab Tanıtımı","list":{"type":"unordered","items":["Google Colab, Jupyter Notebook gibi çalışan ücretsiz bir Google bulut tabanlı hizmettir.","Bu hizmeti kullanmak için bilgisayarınıza program yüklemeye gerek yoktur, sadece Google hesabı gereklidir.","Colab, Jupyter Notebook'a benzer bir yapıya sahiptir ve kullanıcılar kod yazma yeteneklerini geliştirebilir veya popüler 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oluşturmak, açmak, kaydetmek) yapılabilir.","Edit menüsünden düzenleme işlemleri (geri almak, ileri almak, kesmek, kopyalamak) yapılabilir.","View menüsünden notebook hakkında bilgi alınabilir veya yazılan kodlar ekrana yazdırılabilir."]},"beginTime":179,"endTime":233,"href":"/video/preview/8358277436014604801?parent-reqid=1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL&text=Machine+Colab&t=179&ask_summarization=1"},{"index":4,"title":"Colab'da Hücre İşlemleri","list":{"type":"unordered","items":["Colab, Jupyter Notebook gibi hücre yönelimli bir mantıkla çalışır.","Insert menüsünden kod hücresi veya metin hücresi oluşturulabilir.","Metin hücresinde başlık oluşturmak için # işareti kullanılabilir, kısayollar ile metin formatı değiştirilebilir.","Hücreleri çalıştırmak için Run Time kısmındaki komutlar kullanılabilir veya Ctrl+Enter tuşları ile kısa yoldan çalıştırılabilir."]},"beginTime":233,"endTime":323,"href":"/video/preview/8358277436014604801?parent-reqid=1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL&text=Machine+Colab&t=233&ask_summarization=1"},{"index":5,"title":"Google Drive ile Entegrasyon","list":{"type":"unordered","items":["Notebook'u Google Drive'a monte etmek için \"from google.colab import drive\" ve \"drive.mount('/content/drive')\" komutları kullanılır.","Montaj işlemi için hesap seçip izin vermek gerekir.","Drive'daki dosyaları görmek için \"!ls '/content/drive/My Drive'\" komutu kullanılabilir."]},"beginTime":323,"endTime":384,"href":"/video/preview/8358277436014604801?parent-reqid=1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL&text=Machine+Colab&t=323&ask_summarization=1"},{"index":6,"title":"Veri Seti İndirme ve Analiz","list":{"type":"unordered","items":["İnternetten veri seti indirmek için \"!wget\" komutu kullanılabilir.","Veri setini notebook'a aktarmak için Pandas kütüphanesi kullanılır.","İndirilen veri setinin ilk beş satırı \"titanic.head()\" komutuyla ekrana yazdırılabilir."]},"beginTime":384,"endTime":476,"href":"/video/preview/8358277436014604801?parent-reqid=1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL&text=Machine+Colab&t=384&ask_summarization=1"},{"index":7,"title":"Makine Öğrenmesi Analizi","list":{"type":"unordered","items":["Colab ile TensorFlow, Keras, PyTorch veya Scikit-learn gibi Python kütüphaneleri çalıştırılabilir.","Scikit-learn kütüphanesi kullanılarak makine öğrenmesi analizleri yapılabilir.","K-means algoritması kullanılarak iris çiçeğinin özellikleri sınıflandırılabilir ve sonuçlar görselleştirilebilir."]},"beginTime":476,"endTime":644,"href":"/video/preview/8358277436014604801?parent-reqid=1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL&text=Machine+Colab&t=476&ask_summarization=1"},{"index":8,"title":"GitHub 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Google Colab Usage for Free for Machine Learning Makine öğrenmesi, Derin Öğrenme gibi konular üzerinde çalışabilmeniz için bilgisayarınızın pahalı donanımlara sahip olması şart değil.","preview":{"posterSrc":"//avatars.mds.yandex.net/get-vthumb/3402483/d71e88f6567b44be585e1096b1a392e2/564x318_1","videoSrc":"https://video-preview.s3.yandex.net/WcW2QgEAAAA.mp4","videoType":"video/mp4"},"target":"_self","position":"16","reqid":"1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL","summary":{"isFull":true,"fullTextUrl":"/video/result?ask_summarization=1&numdoc=1&noreask=1&nomisspell=1&parent-reqid=1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL&text=videoid:17764461166903596588","teaser":[{"list":{"type":"unordered","items":["Bu video, Ahmet Aksoy tarafından sunulan bir eğitim içeriğidir. Ahmet, Google Colab sisteminin özelliklerini ve kullanımını detaylı şekilde anlatmaktadır.","Video, Google Colab sisteminin tanıtımıyla başlayıp, sistemin Jupyter Notebook'ı geliştirerek oluşturduğu, Google Drive ile bağlantılı çalıştığı ve makine öğrenmesi ve derin öğrenme çalışmaları için GPU ve TPU desteği sunduğu bilgisiyle devam ediyor. İçerikte Markdown dilinin kullanımı, kütüphane yükleme, GitHub ile entegrasyon, etkileşimli formlar oluşturma ve çeşitli makine öğrenmesi örnekleri (neural style, deep dream, karakter tanıma gibi) gösteriliyor. Ayrıca Python kodlarının nasıl çalıştırılacağı, hücrelerin nasıl yönetileceği ve dosyaların nasıl kaydedileceği gibi temel kullanım örnekleri de sunuluyor."]},"endTime":1088,"title":"Google Colab Sistemi Tanıtımı","beginTime":0}],"fullResult":[{"index":0,"title":"Google Colab Sistemi Tanıtımı","list":{"type":"unordered","items":["Google Colab sistemi, Google Drive hesabına sahip olmak şartıyla kullanılabilir.","Colab, Jupyter Notebook'ı temel alarak geliştirilmiş ve Google Drive ile bağlantı kurmuş bir sistemdir.","Bilgisayarınızın gücü yetersizse veya GPU desteği yoksa, derin öğrenme ve makine öğrenme çalışmaları için Colab kurtarıcı olabilir."]},"beginTime":0,"endTime":126,"href":"/video/preview/17764461166903596588?parent-reqid=1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL&text=Machine+Colab&t=0&ask_summarization=1"},{"index":1,"title":"Colab Kullanımı","list":{"type":"unordered","items":["Colab'da kod çalıştırmak için Shift+Enter veya Ctrl+Enter tuş kombinasyonları kullanılabilir.","Jupyter Notebook'un bir özelliği olarak, değişkenin adını yazmak yeterlidir, print fonksiyonu gerekmez.","Markdown dilini kullanarak metin formatları belirleyebilir ve kod hücrelerini çalıştırabilirsiniz."]},"beginTime":126,"endTime":279,"href":"/video/preview/17764461166903596588?parent-reqid=1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL&text=Machine+Colab&t=126&ask_summarization=1"},{"index":2,"title":"Colab Özellikleri","list":{"type":"unordered","items":["Colab'da kütüphaneler yüklenebilir ve bağımlılıklar yönetilebilir.","Oluşturulan notebook'lar GitHub'a otomatik olarak kaydedilebilir veya yüklenilebilir.","Etkileşimli formlar oluşturulabilir ve Tensorflow 2.0 kullanılabilmektedir."]},"beginTime":279,"endTime":332,"href":"/video/preview/17764461166903596588?parent-reqid=1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL&text=Machine+Colab&t=279&ask_summarization=1"},{"index":3,"title":"Veri İşleme ve Eğitim Kursları","list":{"type":"unordered","items":["Colab'da veri yükleme, Google Drive, Sheets ve Google Cloud Storage ile çalışılabilir.","Veriler görselleştirilebilir ve BigQuery işlemlerine erişilebilir.","Pandas, Tensorflow konseptleri ve veri ile ilgili giriş kursları sunulmaktadır."]},"beginTime":332,"endTime":404,"href":"/video/preview/17764461166903596588?parent-reqid=1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL&text=Machine+Colab&t=332&ask_summarization=1"},{"index":4,"title":"Colab'ın Teknik Avantajları","list":{"type":"unordered","items":["Colab, kendi bilgisayarınızda olmayan özellikler sunmaktadır.","Normal bilgisayarlarda CPU ve GPU bulunurken, Colab'da Google TPU (Tensor Processing Unit) eklemiştir.","Tensorflow üzerinde yapılan çalışmaları TPU aracılığıyla çok daha hızlı gerçekleştirmek mümkün olabiliyor."]},"beginTime":404,"endTime":458,"href":"/video/preview/17764461166903596588?parent-reqid=1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL&text=Machine+Colab&t=404&ask_summarization=1"},{"index":5,"title":"Makine Öğrenimi Örnekleri","list":{"type":"unordered","items":["Neural Style: Bir resmin özelliklerini alıp başka bir resme uygulayarak, örneğin Van Gogh tarzında resim oluşturabilirsiniz.","Deep Dream: Bir resimde belirli bir nesne (örneğin köpek) bulup, o nesneyi resmin her yerine yerleştirerek \"derin uykuya\" girmiş gibi bir etki yaratabilirsiniz.","Colab'da sesle ilgili, veri tabanlarıyla ilgili ve yeni görüntü üretme gibi çeşitli örnekler bulunmaktadır."]},"beginTime":458,"endTime":615,"href":"/video/preview/17764461166903596588?parent-reqid=1769453497851181-16191038959268943670-balancer-l7leveler-kubr-yp-vla-183-BAL&text=Machine+Colab&t=458&ask_summarization=1"},{"index":6,"title":"Colab'da Python 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