Perform Cloud Data Science with Azure Machine Learning
Details
This course is based on the objectives of the course version 20774A.
Note: eLearning module (Microsoft On Demand, MOD) is also available for this course
Outline
» Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio
» Upload and explore various types of data to Azure Machine Learning
» Explore and use techniques to prepare datasets ready for use with Azure Machine Learning
» Explore and use feature engineering and selection techniques on datasets that are to be used with Azure Machine Learning
» Explore and use regression algorithms and neural networks with Azure Machine Learning
» Explore and use classification and clustering algorithms with Azure Machine Learning
» Use R and Python with Azure Machine Learning, and choose when to use a particular language
» Explore and use hyperparameters and multiple algorithms and models, and be able to score and evaluate models
» Explore how to provide end-users with Azure Machine Learning services, and how to share data generated from Azure Machine Learning models
» Explore and use the Cognitive Services APIs for text and image processing, to create a recommendation application, and describe the use of neural networks with Azure Machine Learning
» Explore and use HDInsight with Azure Machine Learning
» Explore and use R and R Server with Azure Machine Learning, and explain how to deploy and configure SQL Server to support R services
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