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N Northeastern University

Machine Learning for Engineers: Algorithms and Applications

318 students enrolled
This course covers practical algorithms and the theory for machine learning from a variety of perspectives. Topics include supervised learning (generative, discriminative learning, parametric, non-parametric learning, deep neural networks, support vector Machines), unsupervised learning (clustering, dimensionality reduction, kernel methods). The course will also discuss recent applications of machine learning, such as computer vision, data mining, natural language processing, speech recognition and robotics. Students will learn the implementation of selected machine learning algorithms via python and PyTorch.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATIONSelf-paced

What you'll learn

  • Model Evaluation
  • Supervised Learning
  • Statistical Machine Learning
  • Machine Learning Algorithms
  • Unsupervised Learning
  • Machine Learning Methods
  • PyTorch (Machine Learning Library)
  • Applied Machine Learning
  • Statistical Methods
  • Statistical Modeling
  • Model Optimization
  • Model Training

Details

  • ProviderNortheastern University
  • TypeCourse
  • CategorySoftware & Programming
  • LanguageEnglish

Öğrenenlerimiz ne diyor?

Türkiye'nin yüz akı üniversitelerince hazırlanan; akademik doyuruculuğa sahip eğitim içeriklerinin, etkileşimli videolarla bir araya getirildiği bir üniversiteden eğitim almak istiyorsanız doğru yerdesiniz.
Ramazan Bölükbaşı
Çok yoğun programı olan öğrenciler için büyük bir fırsat. Bir şeylerin gelişmesi değişmesi için çabalamalıyız.
Melis Gülsar
Hızlı desteği ve üst düzey hizmeti ile Campus Online ve Sosyal Medya Sertifika Programı hizmeti sağlayan Adnan Menderes Üniversitesine sonsuz teşekkürlerimi sunuyorum.
Nazif Bayram

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