Seldon Presents on Context-Aware Drift Detection at ICML 2022
In my role as part of the R&D team here at Seldon, I conduct research that enables greater trust in machine learning […]
Context-Aware Drift Detection with Alibi Detect
We are delighted to announce new research that will give users of Alibi Detect control over which changes to their data distribution […]
What is Drift?
Machine learning algorithms learn to make predictions or decisions by learning, from historical data, a model of the underlying process connecting inputs […]
Anomaly Detection in Machine Learning
Anomaly detection is an important factor for every stage of the whole machine learning lifecycle. The development and building of a machine learning […]
Getting Started with Machine Learning Monitoring
Machine learning models are powerful tools when used to automate processes and inform data-led decisions. But the effectiveness of models can degrade if […]
Drift Detection: An Introduction
What is Drift Detection? Deployed machine learning models can fail spectacularly in response to seemingly benign changes to the underlying process being […]