The data is read into a NumPy matrix as float32 values. During training, the binary classification loss function is expecting a single 0.0 or 1.0 floating point value rather than a 0 or 1 integer ...

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

Data that focused on the 2020 election or COVID-19, though — which made up 43% of the articles analyzed and a huge proportion of this year’s news — always showed gender as a binary, like ...

The data is converted from NumPy arrays to PyTorch tensors. Notice that the class labels-to-predict in self.y_data are type float32 rather than type int64 as you might expect. This is required for ...

Twitter users have shorter relationships. iPhone owners have more sex. And Big Macs cost 50 percent more in Brazil than in the U.S., but are much less in India. Got it--now, let's talk data.

Modern cutting-edge research generates enormous amounts of data, presenting scientists with the challenge of visualizing and analyzing it. Researchers at the Helmholtz Institute for RNA-based ...

Visualization is essential for data interpretation, hypothesis formulation and communication of results. However, there is a paucity of visualization methods for image-derived data sets generated ...