Philosophy behind feature stores
In this chapter, we have discussed different issues with ML pipelines and how feature stores help data scientists solve them and accelerate ML development. In this section, let's try to understand the philosophy behind feature stores and try to make sense of why having a feature store in our ML pipeline may be the ideal way to accelerate ML. Let's start with a real-world example as we are trying to build real-world experience with ML. You will be given the names of two phones; your job is to figure out which one is better. The names are iPhone 13 Pro and Google Pixel 6 Pro. You have an infinite amount of time to find the answer; continue reading once you have the answer.
As Ralph Waldo Emerson said, It's not the destination, it is the journey. Whatever your answer may be, however long you took to arrive at it, let's look at how you might have arrived at it. Some of you might have got an answer right away, but if you haven&apos...