Today we're talking with Caitlin Owen, a post-doc at the University of Otago about her work on error decomposition.
She recently published a paper titled "Towards Explainable AutoML Using Error Decomposition" about how a more granular view of the components of error can lead the construction of better AutoML systems.
Read her paper here: https://link.springer.com/chapter/10.1007/978-3-031-22695-3_13
Follow her on Twitter here: @CaitAshfordOwen
Connect with her on LinkedIn here: https://www.linkedin.com/in/caitlin-owen-5b9b08193/