Description
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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Syllabus
Syllabus Course Introduction Azure Machine Learning Pipelines Machine Learning Algorithm Feature Selection Classic Machine Learning Models Run Training Scripts in an Azure Machine Learning Workspace Generate Metrics from an Experiment Run Conclusion
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