Engineering MLOps
portes grátis
Engineering MLOps
Rapidly build, test, and manage production-ready machine learning life cycles at scale
Raj, Emmanuel
Packt Publishing Limited
04/2021
370
Mole
Inglês
9781800562882
15 a 20 dias
Descrição não disponível.
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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
CI CD pipeline;machine learning;Azure Machine Learning;CI-CD
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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
