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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 Platform and do quite a bit of hands-on work after briefly discussing the fundamentals.
We will cover:
- Automatic data preparation
- Automatic feature engineering
- Automatic model generation
- AutoKeras
- Google Cloud AutoML with its multiple solutions for table, vision, text, translation, and video processing
Let’s begin with an introduction to AutoML.
What is AutoML?
During the previous chapters, we introduced several models used in modern machine learning and deep learning. For instance, we have seen architectures ...
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