MachineLearning

Tracing models

TrACE DATA

Lineage

Experiment execution

• how much time it takes to run

• how much resources to maintain model

• baseline how much compute resources - need optimization

Data preparation -

• outliers 

• cardinality

Scale model for real life usage to meet the demand

How to detect data drift

• seasonality 

• customer behaviour

Data drift - can lead to inaccuracies

Building first learn