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In this course, we focus on how to run experiments and train models in Azure Machine Learning. This course is part two of a three part series, focusing on preparation for the DP-100 exam.

We examine how to:

  • Create models using Azure Machine Learning designer
  • Run training scripts in an Azure Machine Learning workspace
  • Generate metrics from an experiment run
  • Build a foundation using key algorithms, features, and machine learning models
  • Use important tools such as PyTorch, Scikit-learn, Keras, and Chainer


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