#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.

Mentioned by

Mentioned in 1 episodes

Mentioned by
undefined
Noah Giff
as a book he authored, containing material also available on Pragmatic AI YouTube channel.
18 snips
Live from TWIMLcon! The Great MLOps Debate: End-to-End ML Platforms vs Specialized Tools - #597
Mentioned by
undefined
Adel Nehme
as
undefined
Noah Gift
's most recent book on MLOps.
#71 Scaling Machine Learning Adoption: A Pragmatic Approach

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app