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.
