Get the Ultimate Guide to MLOps

From O'Reilly & Dataiku

crop-3d-oreilly-mlops-cover

“If you are looking for better strategizing and enabling practical ML process across teams, this book is for you.”

— Adi Polak | Senior Software Engineer, Microsoft

Key Concepts of MLOps

This book helps data leaders:


  • Fulfill data science value by reducing friction throughout ML pipelines and workflows.
  • Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy.
  • Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable.
  • Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized.