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Machine Learning Monitoring: why it matters and how to get it right

Machine Learning Monitoring: why it matters and how to get it right

by TruEra | Sep 26, 2022 | Uncategorized

Avoid these common ML monitoring mistakes – your model’s success hangs in the balance.  So you’ve built a machine learning model that works well in the lab. You’ve validated it, gotten the green light from the internal stakeholders, ensured that it met any regulatory...
Drift Metrics: How to Select the Right Metric to Analyze Drift

Drift Metrics: How to Select the Right Metric to Analyze Drift

by TruEra | Aug 8, 2022 | Uncategorized

In our last post we summarized the problem of drift in machine learning deployments (“Drift in Machine Learning: Why It’s Hard and What to Do About It” in Towards Data Science). One of the takeaways from the article is: methods for dealing with drift must identify...
Machine Learning Monitoring: why it matters and how to get it right

Machine Learning Monitoring: why it matters and how to get it right

by TruEra | Jul 20, 2022 | Uncategorized

Avoid these common ML monitoring mistakes – your model’s success hangs in the balance.  So you’ve built a machine learning model that works well in the lab. You’ve validated it, gotten the green light from the internal stakeholders, ensured that it met any regulatory...
What does it mean to be fair? Measuring and understanding fairness

What does it mean to be fair? Measuring and understanding fairness

by TruEra | Jul 5, 2022 | Uncategorized

Let’s transform fairness from an abstract goal into a reality for machine learning models. Machine learning is used ubiquitously in applications like facial recognition and online advertisements — however, many of these ML models show clear evidence of unintentional...
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