How to Manage Machine Learning Products

towardsdatascience.com

Compared to software engineering, ML is still in its infancy and therefore lacks industry standards, metrics, infrastructure, and tools. 

An overview of the challenges in managing ML Products from a Product Manager working for a startup that builds machine learning software for robotic vision and control.

tl;dr. Machine Learning is a new field that keeps evolving, deploying ML is a highly iterative process driven by experimentation that faces structural challenges beyond purely technical ones, including lack of buy-ins from stakeholders because of explainability and interpretability issues.

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