By now, you should have an overall idea of what automated ML is and why you need to be familiar with ML pipelines.
You have reviewed the core components of AutoML systems and also practiced your skills using popular AutoML libraries.
This is definitely not the whole list, and AutoML is an active area of research. You should check out other libraries such as Auto-WEKA, which also uses the latest innovations in Bayesian optimization, and Xcessive, which is a user-friendly tool for creating stacked ensembles.
For now, this is enough of magic! You should start working on your own masterpiece and in the following chapters, you will be building an AutoML system of your own!
