The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Abstract: Data analytics can help drive decision-making and improve patient outcomes in healthcare. But of course, healthcare data is complex, and the process to access & analyze it can be slow. Here, ...

As someone who writes about the AI industry relatively frequently for this site, there is one question that I find myself constantly asking and being asked in turn, in some form or another: What do ...

Microsoft will pay to use Anthropic’s AI in Office 365 apps, The Information reports, citing two sources. The move means that Anthropic’s tech will help power new features in Word, Excel, Outlook, and ...

In November 2022, a little-known startup named OpenAI launched a novel platform, bringing artificial intelligence (AI) out of the lab and into our handheld devices. Dubbed ChatGPT, this platform ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

TAMPA, Fla., June 16, 2025 /PRNewswire/ -- AdventHealth Tampa is now the first hospital in the Tampa Bay region to successfully perform a transabdominal colorectal surgery using the da Vinci SP ...

Emma Shortis is Director of International and Security Affairs at The Australia Institute, an independent think tank. Australian journalist Lauren Tomasi was in the middle of a live cross, covering ...

Distributed statistical learning problems arise commonly when dealing with large datasets. In this setup, datasets are partitioned over machines, which compute locally, and communicate short messages.