Data science is sometimes described as a diverse field. It differs from data analytics in that it calls for domain understanding in addition to strong coding abilities and an analytical approach.

Utilizing market research to inform decision-making begins with clearly identifying the objective: What specific goal am I looking to achieve? The scope and nature of the decision to be made will ...

These AI tools are specifically tailored to address the unique challenges and opportunities within the healthcare industry, ranging from medical imaging and diagnostics to clinical decision support ...

The Etch A Sketch was never supposed to meet a Raspberry Pi, a camera, or a mathematical algorithm, but here we are. [Tekavou]’s Teka-Cam and TekaSketch are a two-part hack that transforms ...

Demand for AI chips is booming—and so is the need for software to run them. Chris Lattner’s startup Modular just raised $250 million to build the best developer tools for AI hardware.

Using Qlik technology, the marine business has moved from an engineering approach to data to visual storytelling.

Work on the Safe C++ extensions proposal, forged a year ago to address memory safety in the language, has ceased, according to Harry Bott, the CEO of the C++ Alliance, which oversaw the proposal. The ...

Overview: Entry-level data science jobs often include roles like data analyst, junior data scientist, and machine learning intern.Strong analytical, Python, and ...

The AI community is going through a reckoning. LLMs are failing. They are proving they may not be the pathway towards the promised intelligence we've all been led to believe. Now what?

Learn about this modern sales and bartering system.

The quotation stage is often the key to whether a customer will make a purchase in manufacturing, especially when pricing custom products and services. Pricing custom products is complicated by ...