Chandra Madhumanchi stands out as a pioneering force in the fields of machine learning (ML), artificial intelligence (AI), and data engineering. With over two decades of experience and a reputation ...

The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

Purpose End-to-end ML lifecycle management and MLOps Unified data analytics and business intelligence platform Unified platform for building and deploying AI solutions Model Deployment Supports ...

Abstract: The deployment of machine learning (ML) systems at scale necessitates a robust, flexible, and well-orchestrated infrastructure. Azure Kubernetes Service (AKS) has emerged as a key platform ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Kaggle Kernels (also called Notebooks) represent a revolutionary cloud-based platform for data science and machine learning work. They provide a complete computational environment where you can write, ...

Abstract: The application of Machine Learning for predictive analysis in healthcare, particularly for diseases like diabetes, has proven highly beneficial. This study introduces an optimized Light ...