9.5 Your next steps in BDL

Throughout this chapter, we’ve concluded our introduction to BDL by taking a look at a variety of techniques that could help you to improve on the fundamental methods explored in the book. We’ve also taken a look at how the powerful gold-standard of Bayesian inference – the GP – can be adapted to tasks generally reserved for deep learning. While it is indeed possible to adapt GPs to these tasks, we also advise that it’s generally easier and more practical to use the methods presented in this book, or methods derived from them. As always, it’s up to you as the machine learning engineer to determine what is best for the task at hand, and we are confident that the material from the book will equip you well for the challenges ahead.

While this book provides you with the necessary fundamentals to get started, there’s always more learn – particularly in such a rapidly moving field! In the next section, we’...