References¶
A curated list of books, articles and online courses to help you dive deeper into MLOps.
Books¶
- Designing Machine Learning Systems
by Chip Huyen, May 2022, O'Reilly Media, Inc. - Introducing MLOps by Mark Treveil & Dataiku Team, November 2020, O'Reilly Media, Inc.
- Reliable Machine Learning by Cathy Chen & cie, September 2022, O'Reilly Media, Inc.
- Practical MLOps by Noah Gift & Alfredo Deza, September 2021, O'Reilly Media, Inc.
- Implementing MLOps in the Enterprise by Yaron Haviv & Noah Gift, December 2023, O'Reilly Media, Inc.
- Machine Learning in Production: From Models to Products by Christian Kästner, Carnegie Mellon University.
Courses¶
- Machine Learning in Production by Andrew Ng, DeeplLarning.AI.
- Machine Learning in Production @ CMU by Carnegie Mellon University.
Others¶
- Awesome MLOps, an awesome list of references for MLOps