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 ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

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

From pre-dawn toddler wake-up calls to board prep, model diagnostics and late-night electric-cello sessions, Pierre du Toit, ...

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

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined skills. Companies building chatbots, recommendation engines, and large language ...

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

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

With countless applications and a combination of approachability and power, Python is one of the most popular programming ...

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