{"id":16796,"date":"2025-03-31T18:45:14","date_gmt":"2025-03-31T15:45:14","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/azureda-zahmetsiz-makine-ogrenmesi-modelleri\/"},"modified":"2025-03-31T18:45:14","modified_gmt":"2025-03-31T15:45:14","slug":"azureda-zahmetsiz-makine-ogrenmesi-modelleri","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/azureda-zahmetsiz-makine-ogrenmesi-modelleri\/","title":{"rendered":"Azure’da Zahmetsiz Makine \u00d6\u011frenmesi Modelleri"},"content":{"rendered":"

<\/p>\n

Azure’da Zahmetsiz Makine \u00d6\u011frenmesi Modelleri<\/p>\n

G\u00fcn\u00fcm\u00fczde makine \u00f6\u011frenmesi (ML) giderek daha pop\u00fcler hale geliyor. Ancak, ML modellerinin olu\u015fturulmas\u0131 ve da\u011f\u0131t\u0131m\u0131 karma\u015f\u0131k ve zaman al\u0131c\u0131 bir s\u00fcre\u00e7 olabilir. Neyse ki, Azure gibi bulut platformlar\u0131, bu s\u00fcreci \u00f6nemli \u00f6l\u00e7\u00fcde kolayla\u015ft\u0131r\u0131yor. Bu makalede, Azure’da zahmetsizce makine \u00f6\u011frenmesi modelleri olu\u015fturman\u0131n ve da\u011f\u0131tman\u0131n yollar\u0131n\u0131 ele alaca\u011f\u0131z. \u00d6zellikle, kod yazmadan veya derinlemesine ML uzmanl\u0131\u011f\u0131na gerek duymadan, i\u015flerinizi kolayla\u015ft\u0131racak y\u00f6ntemlere odaklanaca\u011f\u0131z.<\/p>\n

Azure Machine Learning’in G\u00fcc\u00fc<\/h2>\n

Azure Machine Learning (AML), veri bilimcilerine ve geli\u015ftiricilere g\u00fc\u00e7l\u00fc ve \u00f6l\u00e7eklenebilir bir makine \u00f6\u011frenmesi platformu sunar. Ancak, AML’nin sundu\u011fu t\u00fcm \u00f6zelliklerin tam olarak kullan\u0131lmas\u0131 i\u00e7in geli\u015fmi\u015f bir kodlama bilgisi ve derinlemesine bir ML anlay\u0131\u015f\u0131 gerekmektedir. Bu nedenle, az teknik bilgiye sahip ki\u015filer i\u00e7in bu platformu kullanmak zorlay\u0131c\u0131 olabilir. \u0130\u015fte tam da burada, Azure’un sundu\u011fu “zahmetsiz” \u00e7\u00f6z\u00fcmler devreye giriyor.<\/p>\n

Kodsuz Makine \u00d6\u011frenmesi \u00c7\u00f6z\u00fcmleri<\/h2>\n

Azure, kod yazmadan ML modelleri olu\u015fturman\u0131za olanak tan\u0131yan \u00e7e\u015fitli ara\u00e7lar sunmaktad\u0131r. \u00d6rne\u011fin, Azure Machine Learning Designer, g\u00f6rsel bir aray\u00fcz kullanarak makine \u00f6\u011frenmesi i\u015f ak\u0131\u015flar\u0131n\u0131 olu\u015fturman\u0131z\u0131 sa\u011flar. Bu, karma\u015f\u0131k kodla u\u011fra\u015fmak zorunda kalmadan modelleri e\u011fitmenizi, de\u011ferlendirmenizi ve da\u011f\u0131tman\u0131z\u0131 kolayla\u015ft\u0131r\u0131r. Ayr\u0131ca, \u00f6nceden e\u011fitilmi\u015f modeller kullanarak, i\u015finize \u00f6zel \u00e7\u00f6z\u00fcmler h\u0131zl\u0131ca geli\u015ftirebilirsiniz. Bu sayede, karma\u015f\u0131k algoritmalarla u\u011fra\u015fmadan h\u0131zl\u0131 sonu\u00e7lar alabilirsiniz.<\/p>\n

Bunun yan\u0131 s\u0131ra, Azure AutoML, veri setinizi y\u00fckleyerek en uygun ML modelini otomatik olarak se\u00e7er ve e\u011fitir. Bu, hangi algoritman\u0131n sizin i\u00e7in en uygun oldu\u011funu bilmiyor olsan\u0131z bile, g\u00fc\u00e7l\u00fc bir model olu\u015fturman\u0131za olanak tan\u0131r. Sonu\u00e7 olarak, hem zamandan hem de emekten tasarruf edersiniz.<\/p>\n

Ad\u0131m Ad\u0131m Bir \u00d6rnek: Azure AutoML ile Nesne S\u0131n\u0131fland\u0131rma<\/h2>\n

Diyelim ki nesne s\u0131n\u0131fland\u0131rmas\u0131 yapmak istiyorsunuz. Azure AutoML ile bunu nas\u0131l yapabilece\u011finize dair basit bir k\u0131lavuz sunaca\u011f\u0131m. \u0130lk ad\u0131m, verilerinizi Azure’a y\u00fcklemektir. Daha sonra, AutoML’yi ba\u015flat\u0131r ve verilerinizin \u00f6zelliklerini tan\u0131mlars\u0131n\u0131z. AutoML, farkl\u0131 algoritmalar\u0131 deneyerek en iyi performans\u0131 g\u00f6steren modeli otomatik olarak se\u00e7ecektir. Son olarak, e\u011fitilmi\u015f modelinizi da\u011f\u0131tabilir ve tahminler \u00fcretebilirsiniz. Bu s\u00fcrecin detaylar\u0131 i\u00e7in Microsoft’un resmi d\u00f6k\u00fcmanlar\u0131na<\/a> g\u00f6z atabilirsiniz.<\/p>\n

Sonu\u00e7<\/h2>\n

Azure, kod yazmadan veya ileri d\u00fczey ML bilgisi gerektirmeden makine \u00f6\u011frenmesi modelleri olu\u015fturmay\u0131 m\u00fcmk\u00fcn k\u0131lan g\u00fc\u00e7l\u00fc ara\u00e7lar sunmaktad\u0131r. Azure Machine Learning Designer ve AutoML gibi ara\u00e7lar, i\u015fletmelerin ve bireylerin yapay zeka g\u00fcc\u00fcnden faydalanmalar\u0131n\u0131 kolayla\u015ft\u0131rmaktad\u0131r. Bu sayede, veri analizi ve tahmine dayal\u0131 karar verme s\u00fcre\u00e7leri h\u0131zlan\u0131r ve verimlilik artar. Kendi deneyimlerinizi payla\u015fmak veya daha fazla bilgi edinmek i\u00e7in web sitemi<\/a> ziyaret edebilirsiniz.<\/p>\n

#Etiketler: Azure, Makine \u00d6\u011frenmesi, ML, No-code, No-brainer, kolay makine \u00f6\u011frenmesi, bulut bili\u015fim, Azure Machine Learning, veri bilimi, yapay zeka, AutoML, Azure Machine Learning Designer<\/p>\n

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