Function-as-a-Service (FaaS) has become an increasingly popular way for users to deploy
their applications without the burden of managing the underlying infrastructure. However …

Prediction queries are widely used across industries to perform advanced analytics and
draw insights from data. They include a data processing part (eg, for joining, filtering …

With the tremendous growth in the areas of computing, statistics, and mathematics has led to
the rise of the emerging field of expertise, named 'Data Science'. This paper focuses on the …

The broadening adoption of machine learning in the enterprise is increasing the pressure for
strict governance and cost-effective performance, in particular for the common and …

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 …

User-defined functions (UDFs) have been widely used to overcome the expressivity
limitations of SQL and complement its declarative nature with functional capabilities. UDFs …

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 …

Machine Learning (ML) is increasingly used to automate impactful decisions, and the risks
arising from this wide-spread use are garnering attention from policy makers, scientists, and …

Machine learning (ML) components are increasingly incorporated into software products, yet
developers face challenges in transitioning from ML prototypes to products. Academic …

Machine Learning (ML) is increasingly used to automate impactful decisions, and the risks
arising from this wide-spread use are garnering attention from policymakers, scientists, and …