In this book, you have learned about many important techniques that are required to develop ML applications in Go, and deploy them as production systems. The best way to develop your knowledge is with hands-on experience, so dive in and start adding ML software into your own Go applications. The skills you have learned here will allow you to start adding cutting-edge ML capabilities to the projects that you are working on.
ML is a rapidly evolving field with new algorithms and datasets being published every week, both by academics and technology companies. We recommend that you read the technical blogs, papers, and code repositories that cover this research, many of which we have referenced throughout this book. You might find a new state-of-the-art model that solves a problem you have been working on, waiting for you to implement it in Go.
