Designing Machine Learning Systems: An Iterative Process for Production-ready Applications Paperback – 21 June 2022

Fantastic book for beginners who want to understand from fundamentals. I liked it.

Good one to read

This is an excellent book, with depth. It guides you through designing ML systems if you are a starter it must book for you. Even if you are experienced, you should read to verify your knowledge.

Gray scale edition makes bit harder to read. Otherwise, Huygen has expelled his top-notch literacy in ML with this book. This book could be a ready-reckoner to revisit basic theories and concepts in ML for a practioner. Value for money but this paperback won't last for long.

If there is only one book you have to read this year, this should be it. Filled with practical advice on how to bring your models to life, its an excellent book. Highly recommended.

I think every ML practitioner should read this book. It gives practical experience as well as the nuances we face in the real world use case.

This book is thorough and discusses every aspect of common issues/questions occurs in Data Science and MLOps environment. Definitely recommend to all data people

All topics have explained it so nicely and it's easy to follow for beginners as well. Better could have added some practical use cases on few important topics.