To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...

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 ...

Reliance on fossil fuels is almost unavoidable — at least for now. By Evan Gorelick It’s been a big week for A.I. data centers. That means it’s also been a big week for coal and natural gas. Nvidia ...

Quietly but quickly, Phoenix has become one of the nation’s hotspots for a booming economic and technological phenomenon of late-stage capitalism: data centers – the boxy, sprawling farms of wire and ...

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 ...

An analysis suggests two Wisconsin data centers could use more energy than all the state's homes combined. The estimate assumes constant power demand, so actual usage may be lower. Three other ...

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 ...

Every piece of land carries a story of development, transformation, and human impact. From expanding urban centers to shifting agricultural zones, land use plays a crucial role in shaping both local ...

Jupyter Notebooks are a powerful open-source tool that allows users to create and share documents that contain live code, equations, visualizations, and narrative text. They are widely used in data ...