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Building Machine Learning Experiments
By now, you’ve learned how to load data into your Data Explorer pools and perform analysis using the Kusto Query Language (KQL), Python/PySpark, and Power BI. The next boundary to explore in analytics is how to do a more comprehensive analysis of your data, and even predict future behavior. Machine Learning (ML) helps us cross this new boundary, and Azure Synapse offers a vast array of options to apply ML algorithms to your data. In this chapter, you will learn how to build ML experiments with your Data Explorer pool.
First, you will learn how ML is applied to day-to-day tasks by discussing the most common algorithms that are used today. Note that this will not be an extensive list of all the ML algorithms, ...
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