Chapter 1: Getting Started with Automated Machine Learning on AWS
If you have ever had the pleasure of successfully driving a production-ready Machine Learning (ML) application to completion or you are currently in the process of developing your first ML project, I am sure that you will agree with me when I say, "This is not an easy task!"
Why do I say that? Well, if we ignore the intricacies involved in gathering the right training data, analyzing and understanding that data, and then building and training the best possible model, I am sure you will agree that the ML process in itself is a complicated task process, time-consuming, and entirely manual, making it extremely difficult to automate. And it is these factors, plus many more, that contribute ...
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