December 2024
Intermediate to advanced
192 pages
5h 49m
English
Managing machine learning models in a production environment requires careful consideration. Data science research and development code can be messy, written in notebooks or with data managed in spreadsheets. Data scientists who specialize in machine learning operations (MLOps) are responsible for taking research and development code and deploying it to production.
We need to carefully balance the needs of the business with the performance of the models and translate the requirements into a solution that covers compute and storage as well as handling of both code and data. The latter, handling of data sources, represents a significant enough fork from other kinds of software engineering ...
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