Designing Machine Learning Systems

*Designing Machine Learning Systems* (by Chip Huyen, O’Reilly, 2022) is a book by Chip Huyen—a machine learning engineer well-known for his numerous blog posts on MLOps—that compiles the knowledge and mindset needed to design production-quality machine learning systems from the perspective of an experienced practitioner. I believe this is one of the most up-to-date books covering general topics for machine learning engineers. A Japanese translation was also published in 2023. To put it simply, you can think of this book as an updated version of *Machine Learning for Work* that incorporates the latest topics and delves even deeper into the technical content (drawing heavily on *Data-Driven Application Design*). For readers who haven’t read those books yet, this is the ideal choice for acquiring the knowledge necessary to become a machine learning engineer.