

#42399
Mentioned in 1 episodes
Practical MLOps
Book • 2023
This book provides insights into MLOps, helping machine learning engineers operationalize their models efficiently.
It covers applying DevOps best practices to machine learning, building production systems, and implementing them on platforms like AWS, Azure, and Google Cloud.
The book is particularly useful for beginners in MLOps and DevOps.
It covers applying DevOps best practices to machine learning, building production systems, and implementing them on platforms like AWS, Azure, and Google Cloud.
The book is particularly useful for beginners in MLOps and DevOps.
Mentioned by
Mentioned in 1 episodes
Mentioned by 

as a book he authored, containing material also available on Pragmatic AI YouTube channel.


Noah Giff

18 snips
Live from TWIMLcon! The Great MLOps Debate: End-to-End ML Platforms vs Specialized Tools - #597
Mentioned by 

as ![undefined]()

's most recent book on MLOps.


Adel Nehme

Noah Gift

#71 Scaling Machine Learning Adoption: A Pragmatic Approach