| Description |
1 online resource (370 p.) |
| Note |
Description based upon print version of record. |
| Summary |
Engineering MLOps will help you get to grips with ML lifecycle management and MLOps implementation for your organization. This book presents comprehensive insights into MLOps coupled with real-world examples that will teach you how to write programs, train robust and scalable ML models, and build ML pipelines to train, deploy, and monitor ... |
| Contents |
Table of Contents Fundamentals of MLOps Workflow Characterizing your Machine learning problem Code Meets Data Machine Learning Pipelines Model evaluation and packaging Key principles for deploying your ML system Building robust CI and CD pipelines APIs and microservice Management Testing and Securing Your ML Solution Essentials of Production Release Key principles for monitoring your ML system Model Serving and Monitoring Governing the ML system for Continual Learning. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Machine learning -- Computer programs.
|
| Other Form: |
Print version: Raj, Emmanuel Engineering MLOps Birmingham : Packt Publishing, Limited,c2021 9781800562882 |
| ISBN |
1800566328 |
|
9781800566323 (electronic bk.) |
|
9781800562882 (pbk.) |
|
