Automated Machine Learning in Action

9 Wrapping up

This chapter covers

• Important takeaways from this book
• Open source toolkits and commercial platforms for AutoML
• The challenges and future of AutoML
• Resources for learning more and working in the field

We’ve almost reached the end of the book. This last chapter reviews the core concepts we’ve covered, while also aiming to expand your horizons. We’ll start with a quick recap of what you should take away from this book. Next, we’ll present an overview of some popular AutoML tools (both open source and commercial) outside the Keras ecosystem. An awareness of other emblematic toolkits in the current AutoML community will enable you to explore further based on your interests after reading the book. Finally, we offer some speculative ...