Summary and Where to Go Next
This is the last chapter of this book. We’ve learned a lot – starting with understanding the differences between traditional and machine learning-based software. We’ve learned how to handle data and how to work with algorithms. We’ve also looked at how to deploy models and how to work ethically with machine learning. In this chapter, we’ll summarize the best practices and try to get a glimpse of future developments in the area of machine learning overlapped with software engineering.
In this chapter, we’re going to cover the following main topics:
- To know where we are going, we need to know where we’ve been
- Best practices
- Current developments
- My view on the future
