Automated machine learning: State-of-the-art and open challenges
Towards unified data and lifecycle management for deep learning
Deep learning has improved state-of-the-art results in many important fields, and has been
the subject of much research in recent years, leading to the development of several systems …
the subject of much research in recent years, leading to the development of several systems …
Improving reproducibility of data science pipelines through transparent provenance capture
Data science has become prevalent in a large variety of domains. Inherent in its practice is
an exploratory, probing, and fact finding journey, which consists of the assembly, adaptation …
an exploratory, probing, and fact finding journey, which consists of the assembly, adaptation …
[PDF][PDF] Ground: A Data Context Service.
Ground is an open-source data context service, a system to manage all the information that
informs the use of data. Data usage has changed both philosophically and practically in the …
informs the use of data. Data usage has changed both philosophically and practically in the …
Vamsa: Automated provenance tracking in data science scripts
There has recently been a lot of ongoing research in the areas of fairness, bias and
explainability of machine learning (ML) models due to the self-evident or regulatory …
explainability of machine learning (ML) models due to the self-evident or regulatory …