practical mlops operationalizing machine learning models

Practical MLOps: Operationalizing Machine Learning Models

practical mlops operationalizing machine learning models

Operationalizing Machine Learning Pipelines: Building Reusable and Reproducible Machine Learning Pipelines Using MLOps

Ultimate MLOps for Machine Learning Models

Ultimate MLOps for Machine Learning Models: Use Real Case Studies to Efficiently Build, Deploy, and Scale Machine Learning Pipelines with MLOps (English Edition)

Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with p (Paperback)

MLOps with Red Hat OpenShift: A cloud-native approach to machine learning operations

MLOps Lifecycle Toolkit

Machine Learning Model Serving Patterns and Best Practices: A definitive guide to deploying, monitoring, and providing accessibility to ML models in production

Machine Learning Engineering with Python - Second Edition - 2nd Edition by Andrew McMahon (Paperback)

Reliable Machine Learning - by Cathy Chen & Niall Richard Murphy & Kranti Parisa & D Sculley & Todd Underwood (Paperback)

MLOps Lifecycle Toolkit

Implementing MLOps in the Enterprise

Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production

DevOps Tools and Principles (Video Collection)

Beginning MLOps with MLFlow

Machine Learning Production Systems

The MLflow Handbook: End-to-End Machine Learning Lifecycle Management

MLOps Lifecycle Toolkit: A Software Engineering Roadmap for Designing Deploying and Scaling Stochastic Systems (Paperback)

Accelerated DevOps with AI, ML & RPA: Non-Programmer's Guide to AIOPS & MLOPS

Introducing MLOps: How to Scale Machine Learning in the Enterprise

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MLOps Command Center Desk Mat Build Deploy Monitor Improve ML Engineer Data Scientist Pad