Machine Learning Engineering with Python : Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples

Machine Learning Engineering with Python Manage the Production Life Cycle of Machine Learning Models Using MLOps with Practical Examples

Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environmentsKey Features:Explore hyperparameter optimization and model management toolsLearn object-oriented programming and functional programming in Python to build you...

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Detalles Bibliográficos
Autor principal: McMahon, Andrew P. (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited 2021.
Materias:
Python (Computer program language)
Machine learning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009638314906719
Tabla de Contenidos:
  • Table of Contents Introduction to ML Engineering The Machine Learning Development Process From Model to Model Factory Packaging Up Deployment Patterns and Tools Scaling Up Building an Example ML Microservice Building an Extract Transform Machine Learning Use Case.

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