Chapter 12: Conclusion and Best Practices
Throughout the chapters of this book, you have been introduced to the field of machine learning on streaming data, using mainly online models. In this last chapter, it is time for a recapitulative overview of all that has been seen throughout the eleven earlier chapters of the book.
This chapter will cover the following:
- Best practices to keep in mind
- Next steps for your learning journey
- Best practices
Practice is always different from theory. You have seen a lot of theoretical knowledge throughout this book. In this final section, you will see a number of best practices that always need to be kept in mind while applying the theory in real-life use cases:
- Clean data/data quality
Data quality and problems with data understanding are daily problems in most companies. The famous saying goes: "Garbage in, garbage out," implying that when you do machine learning on garbage data, your outputs will...
