Summary

Phew – that was a ton of information! It’s been a long chapter, so let’s discuss what we have covered. First, we looked at the basics of ML and how it can be used. Then, we looked at the importance and usage of data in ML. We explored AutoML and managing ML projects with MLFlow. Lastly, we looked at how we can better manage our training data with a feature store. In the next chapter, we will look at managing our data workflows.