Machine learning engineering with MLflow manage the end-to-end machine learning lifecycle with MLflow / Natu Lauchande.

Get up and running, and productive in no time with MLflow using the most effective machine learning engineering approach Key Features Explore machine learning workflows for stating ML problems in a concise and clear manner using MLflow Use MLflow to iteratively develop a ML model and manage it Disco...

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Bibliographic Details
Online Access: Full text (Emerson users only)
Main Author: Lauchande, Natu (Author)
Format: Electronic eBook
Language:English
Published: Birmingham : Packt Publishing, 2021.
Subjects:
Local Note:ProQuest Ebook Central