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This book provides a comprehensive, practical, and modern exploration of designing and modeling databases specifically for Artificial Intelligence applications. It systematically connects the dots between foundational data principles and the sophisticated data requirements of AI, Machine Learning, and Deep Learning systems. Philosophy: The core philosophy of this book is "Application-Driven Learning." I believe that the abstract concepts of database architecture and data modeling become clear and meaningful only when they are tied to a tangible purpose. In this context, that purpose is to ...

Understanding these relationships that make up a database can allow you to figure out the overall structure of the database you are building or working on. This will allow for better use of the existing framework and increase your productivity while decreasing time spent crunching numbers.