Reliability engineering reveals patterns in the world where used is better than new, while Causal AI focuses on cause-and-effect relationships for optimal decisions. Feature Stores provide various benefits in machine learning.
In this talk, we will focus on the dangers of using post-hoc explainability methods and accurate estimation of impacts for deriving optimal actions.
In this will take a deep dive into the three distinct types of Feature Stores and their uses in the machine learning...
[
add
]
[
|
|
...
]