Abstract
Azure Machine Learning (ML) Studio is a cloud machine learning platform. It features a drag-and-drop environment that is easy to use. It contains more than 20 predefined machine learning algorithms. With Azure ML Studio, it is possible to import data from different resources, devise machine learning experiments, and create a web service from the model. Moreover, it is possible to run the R or Python codes inside the Azure ML Studio environment. In this chapter, first I will explain the environment and how to formulate an experiment in it, how to create a simple machine learning model, how to test and evaluate the model, and how to import data from the local machine from other Azure components. Also, I will discuss the process of creating a web service from the model. The process of how to run R codes inside the Azure ML Studio will be explored. In addition, the process of exploring an Azure ML experiment in R Studio will be elaborated.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2019 Leila Etaati
About this chapter
Cite this chapter
Etaati, L. (2019). Azure Machine Learning Studio. In: Machine Learning with Microsoft Technologies. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3658-1_12
Download citation
DOI: https://doi.org/10.1007/978-1-4842-3658-1_12
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3657-4
Online ISBN: 978-1-4842-3658-1
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)