Chapter 1. Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning
The first step in creating a machine learning experiment is to evaluate the data to determine how you can use it in your algorithms. Initially you need to determine how you wish to load the data. Is your data stored in Hadoop or a database? Is your data in the cloud or stored in an on-premise server? Are you just starting out and would like some sample datasets to use to learn how to understand machine learning concepts?
Important: Have you read page xv?
It contains valuable information regarding the skills you need to pass the exam.
Skills covered in this chapter:
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