Mastering MLOps Architecture: From Code to Deployment : Manage the production cycle of continual learning ML models with MLOps
Enregistré dans:
Auteur principal: | Jhajj, Raman. (Auteur) |
---|---|
Support: | E-Book |
Langue: | Anglais |
Publié: |
New Delhi :
BPB Publications.
|
Autres localisations: | Voir dans le Sudoc |
Accès en ligne: | Accès à l'E-book |
Documents similaires
-
Engineering MLOps : Rapidly build, test, and manage production-ready machine learning life cycles at scale
par: Raj, Emmanuel.
Publié: 2021 -
MLOps with Red Hat OpenShift : A cloud-native approach to machine learning operations
par: Brigoli, Ross. -
Practical Machine Learning on Databricks : Seamlessly transition ML models and MLOps on Databricks
par: Sinha, Debu. -
Combining DataOps, MLOps and DevOps : outperform analytics and software development with expert practices on process optimization and automation
par: Parikh, Kalpesh. -
Mastering the Microsoft deployment toolkit
par: Stokes, Jeff.
Publié: 2016