In the previous chapter, we discussed Azure Machine Learning service tools, functionality, and assets. This chapter focuses on providing hands-on experience to users and develop end-to-end machine learning project life cycle using Azure ML SDK. As mentioned in the previous chapter, Azure ML offers Python SDK, R SDK, and low-code or zero-code Azure ML designer approaches to develop, train, and deploy ML models; we will use Python SDK for our hands-on labs in this chapter. For the purposes of hands-on lab in ...
© Julian Soh and Priyanshi Singh 2020
J. Soh, P. SinghData Science Solutions on Azurehttps://doi.org/10.1007/978-1-4842-6405-8_55. Hands-on with Azure Machine Learning
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