MLOps with Ray
portes grátis
MLOps with Ray
Best Practices and Strategies for Adopting Machine Learning Operations
Luu, Hien; Pumperla, Max; Zhang, Zhe
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
06/2024
338
Mole
9798868803758
15 a 20 dias
Descrição não disponível.
Chapter 1: Introduction to MLOps.- Chapter 2: MLOps Adoption Strategy and Case Studies.- Chapter 3: Feature Engineering Infrastructure.- Chapter 4: Model Training Infrastructure.- Chapter 5: Model Serving.- Chapter 6: Machine Learning Observability.- Chapter 7: Ray Core.- Chapter 8: Ray Air.- Chapter 9: The Future of MLOps.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Python;Ray AIR;ML infrastructure;Machine Learning orchestration;Machine Learning;MLOps;Feature Engineering;Ray;Machine Learning Observability
Chapter 1: Introduction to MLOps.- Chapter 2: MLOps Adoption Strategy and Case Studies.- Chapter 3: Feature Engineering Infrastructure.- Chapter 4: Model Training Infrastructure.- Chapter 5: Model Serving.- Chapter 6: Machine Learning Observability.- Chapter 7: Ray Core.- Chapter 8: Ray Air.- Chapter 9: The Future of MLOps.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
