Principles of Data-Centric ML
In this chapter, you will learn the key principles of data-centric ML. We’ll cover the foundational principles of data-centricity in this chapter to provide a high-level structure and framework to work through and refer to throughout the rest of this book. These principles will give you important context – or the why – before we dive into the specific techniques and approaches associated with each principle in the following chapters – or the what.
As you read through the principles, remember that data-centric ML is an extension – and not a replacement – of a model-centric approach. Essentially, model-centric and data-centric techniques work together to glean the most value from your efforts.
By the end of this chapter, you will have a good understanding of each of the principles and how they work together to form a framework for data-centricity.
In this chapter, we’ll cover the following topics...
