AWS Machine Learning Blog

JANUARY 5, 2024

Baseline job data drift: If the trained model passes the validation steps, baseline stats are generated for this trained model version to enable monitoring and the parallel branch steps are run to generate the baseline for the model quality check. Monitoring (data drift) – The data drift branch runs whenever there is a payload present.

Data Science 131

Data Science Data Drift DevOps Auto-complete 131

The MLOps Blog

MARCH 15, 2023

For small-scale/low-value deployments, there might not be many items to focus on, but as the scale and reach of deployment go up, data governance becomes crucial. This includes data quality, privacy, and compliance. If you aren’t aware already, let’s introduce the concept of ETL. Redshift, S3, and so on.

ETL 52

ETL Data Drift Machine Learning ML 52

Snorkel AI

JUNE 30, 2023

You have to make sure that your ETLs are locked down. The second is drift. Then there’s data quality, and then explainability. That falls into three categories of model drift, which are prediction drift, data drift, and concept drift. And then you get to the model in production.

Machine Learning 52

Machine Learning ML Data Drift Data Quality 52

Snorkel AI

JUNE 30, 2023

You have to make sure that your ETLs are locked down. The second is drift. Then there’s data quality, and then explainability. That falls into three categories of model drift, which are prediction drift, data drift, and concept drift. And then you get to the model in production.

Machine Learning 52

Machine Learning ML Data Drift Data Quality 52

Snorkel AI

JUNE 30, 2023

You have to make sure that your ETLs are locked down. The second is drift. Then there’s data quality, and then explainability. That falls into three categories of model drift, which are prediction drift, data drift, and concept drift. And then you get to the model in production.

Machine Learning 52

Machine Learning ML Data Drift Data Quality 52