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Machine Learning Fundamentals at ISE

This guideline documents the Machine Learning (ML) practices in ISE. ISE works with customers on developing ML models and putting them in production, with an emphasis on engineering and research best practices throughout the project’s life cycle.

Goals

How to use these fundamentals

ML Project phases

The diagram below shows different phases in an ideal ML project. Due to practical constraints and requirements, it might not always be possible to have a project structured in such a manner, however best practices should be followed for each individual phase.

Project flow

General guidance

References