Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

This is a guest post by Tim Allen, principal engineer at Wharton Research Data Services at the University of Pennsylvania, a member of the Readers Council and an organizer of the Philadelphia Python ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Explore the legal and technical hurdles in filing Updated Returns under Section 139(8A), including Excel utility dependencies and procedural ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Overview C++ is one of the most important programming languages for performance-critical applications.Structured courses help ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

Enterprise AI adoption surged in 2025, but scaling still lags. Explore 7 key enterprise AI adoption trends shaping 2026.