Machine Learning Patterns

Hello! First and foremost, I am embarking on a journey to highlight the main aspects presented in the book “Machine Learning Design Patterns” This series is intended for machine learning engineers, data engineers, and data scientists. I will skip the explanation of basic terminology and focus on the nuances of facing the most common challenges when deploying machine learning models. The concept of patterns was introduced in the field of civil engineering/architecture by Christopher Alexander and five co-authors in the book titled “A Pattern Language” (1977). The main idea is that in a situation that happens recurrently, the pattern describes the core solution for this context and can be applied several times for this or similar ones. Here, we will explore the most general patterns that can be applied to machine learning system design…