In this academy, you’ll explore how data scientists analyze real-world data to uncover meaningful insights. Through hands-on projects, you’ll learn the fundamentals of data analysis and machine ...

The explosive growth of data centers could threaten the stability of the electrical grid this winter, according to an industry overseer. Across North America, demand for electricity this winter is ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

“AI” needs a lot of computing resources, which is why new data centers are cropping up anywhere there’s cheap land. But powering all those hungry servers takes a lot of energy, and overburdened power ...

The huge demand for energy to power data centers will be a key focus for antitrust regulators in the future, a former top official at the U.S. Justice Department’s trustbusting division said.

Gov. Phil Murphy conditionally vetoed legislation Monday that would require data centers to report their water and electricity use, asking lawmakers to add provisions directing state regulators to ...

Data Visualization with Pandas Introduction In this lesson, we will be looking at data visualization using pandas and Matplotlib - modules that we have already seen and used. Pandas uses Matplotlib ...

School leaders can use data as a compass to guide the decision-making process so that students and teachers have a clear path to success. When I first became a school leader, I thought one place where ...

Anthropic is starting to train its models on new Claude chats. If you’re using the bot and don’t want your chats used as training data, here’s how to opt out. Anthropic is prepared to repurpose ...

Two environmental groups are warning state residents about the amount of energy and water that is set to be used following the construction of AI data centers in southern Wisconsin. In an analysis ...

Abstract: Data visualization via dimensionality reduction is an important tool in exploratory data analysis. However, when the data are noisy, many existing methods fail to capture the underlying ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...