I have finally finished “Designing Machine Learning Systems” after a few weekends of focus reading. It is one of the rare technical books that I finished in its entirety, and I thoroughly enjoyed it.
Just to offer a quick book review below.
The book is amazing in the following aspects:
✅Provides a high-level overview of practical aspects in ML system design
✅Shares best practices on bringing ML models to production at scale
✅Offers insights on the latest industry-adopted trends and tools
However the book is not meant for nor offers the following:
ℹ️A step-by-step guide to setup an ML system
ℹ️Theoretical explanations on ML concepts
ℹ️Use case/project recipes to use as starting templates
That being said, I have gained a lot of practical tips from the book, and looking forward to putting some of the knowledge I learned into practice.
Thanks Chip Huyen for the great book and looking forward to the next edition!