Introducing MLOps

Written specifically for analytics and IT operations team managers, all the people directly facing the task of scaling machine learning in production will benefit from this e-book. 

This book will assist you in the following areas:
  • Reduce friction in machine learning pipelines and workflows to maximize data science value,
  • To ensure long-term correctness, refine ML models through retraining, occasional tweaking, and total remodeling,
  • Models that are impartial, fair, and explainable should be used to design the MLOps life cycle to avoid organizational risks,
  • ML models should be operationalized for pipeline deployment as well as external business systems that are more complicated and less standardized.

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