Chapter 11: Implementing a Real-Time Scoring Solution
While most machine learning (ML) projects involve batch scoring, the most complex ML projects use real-time solutions. Think about models that determine whether a credit card transaction is fraudulent, models that decide which ads to show online shoppers, and models that decide whether a customer at a car dealership is creditworthy or not. These situations all demand a real-time scoring solution and it's incredibly important that your model be both fast and accurate.
Luckily, creating a fast, reliable real-time scoring solution in AutoML is easy whether you decide to code it with Python or use the Azure Machine Learning (AML) Studio graphical user interface (GUI).
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