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An introduction to AutoML
The goal of AutoML is to enable domain experts who are unfamiliar with machine learning technologies to use ML techniques easily.
In this chapter, we will go through a practical exercise using Google Cloud, and do quite a bit of hands-on work after briefly discussing the fundamentals. We will talk about automatic data preparation, automatic feature engineering, and automatic model generation. Then, we introduce AutoKeras and Cloud AutoML with its multiple solutions for Table, Vision, Text, Translation, and for Video processing.
What is AutoML?
During the previous chapters we have introduced several models used in modern machine learning and deep learning. For instance, we have seen architectures such as Dense networks, ...
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