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Data Science Solutions on Azure: Tools and Techniques Using Databricks and MLOps By: Julian Soh, Priyanshi Singh

PRAGMATIC AI DOING MLOPS LIVE TALK AND DEMO-iLLiTERATE

PRAGMATIC AI KICKING THE TIRES ON THE MLOPS FRAMEWORK MLRUN-iLLiTERATE

PRAGMATIC AI MLOPS CHRONICLES 11 2021-iLLiTERATE

Machine Learning Engineering with Python: Manage the production life cycle of machine learning models using MLOps with practical examples By: Andrew P McMahon

PRAGMATIC AI MLOPS FOR CONTAINERS WITH AWS AND GCP-iLLiTERATE

PRAGMATIC AI MLOPS MATURITY MODEL-iLLiTERATE

Practical MLOps: Operationalizing Machine Learning Models By: Noah Gift, Alfredo Deza

PRAGMATIC AI SIX KEY ELEMENTS OF MLOPS-iLLiTERATE

PRAGMATIC REAL WORLD COMPUTER VISION AND MLOPS COOKBOOK CHAPTER 7 WALKTHROUGH PRACTICAL MLOPS-iLLiTERATE

PRAGMATIC AUTOML AND KAIZENML CHAPTER 5 WALKTHROUGH PRACTICAL MLOPS-iLLiTERATE

PRAGMATIC MLOPS FOUNDATIONS CHAPTER 2 WALKTHROUGH OF PRACTICAL MLOPS-iLLiTERATE

Introducing MLOps: How to Scale Machine Learning in the Enterprise By: Mark Treveil

PRAGMATIC MLOPS WITH AWS APP RUNNER-iLLiTERATE

PRAGMATIC MLOPS FOR EDGE AUTOML WITH GOOGLE AUTOML VISION-iLLiTERATE

Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure By: Sridhar Alla, Suman Kalyan Adari

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps By: Michael Munn, Valliappa Lakshmanan, Sara Robinson

PRAGMATIC ZERO TO ONE DATA SCIENCE TO MLOPS-iLLiTERATE

PRAGMATIC MLOPS WORKFLOW WITH GITHUB ACTIONS-iLLiTERATE