1 Introduction to feature engineering

This chapter covers

  • Understanding the feature engineering and machine learning pipeline
  • Examining why feature engineering is important to the machine learning process
  • Taking a look at the types of feature engineering
  • Understanding how this book is structured and the types of case studies we will focus on

Much of the current discourse around artificial intelligence (AI) and machine learning (ML) is inherently model-centric, focusing on the latest advancements in ML and deep learning. This model-first approach often comes with, at best, little regard for and, at worst, total disregard of the data being used to train said models. Fields like MLOps are exploding with ways to systematically train and utilize ...

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