Public trust in the media and in data has been undercut by information overload, relentless social media cycles, and targeted influence campaigns. Whether driven by politics, social movements, or ...

Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...

Monterey Park’s City Council on Wednesday, Dec. 3, will consider approval of a proposal to build a new data center, sparking criticism from community members who say they felt uninformed about the ...

This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...

Paul Deraval, Cofounder & CEO of NinjaCat, is a software veteran with 20+ years driving innovation in martech, AI and agency growth. There’s no doubt that data is a driving force for every business in ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The AWS Certified Data Engineer Associate exam validates your ability to design, build, and ...

“It works!” I’ve heard this comment at least a thousand times, as it refers to some nutritional supplement, food or exercise program. My background in exercise/nutrition research has made me skeptical ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...