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Chapter 14
The final step consists simply of activating AutoML (see Figure 77):
Figure 77: Activating AutoML from Kaggle
Summary
The goal of AutoML is to enable domain experts who are not familiar with machine
learning technologies to use ML techniques easily. The primary goal is to reduce the
steep learning curve and the huge costs of handcrafting machine learning solutions
by making the whole end-to-end machine learning pipeline (data preparation,
feature engineering, and automatic model generation) more automated.
After reviewing the state-of-the-art solution available at the end of 2019, we
discussed how to use Cloud AutoML for text, videos, and images, achieving results
comparable to the ones achieved with handcrafted models. AutoML is probably the
fastest growing research topic and the interested reader can understand the latest
results at https://www.automl.org/.
The next chapter discusses the math behind deep learning, a rather advanced topic
that is recommended if you are interested in understanding what is going on "under
the hood" when you play with neural networks.
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