Discover what quartiles are in statistics, how to calculate them, and see examples to help you interpret data more ...

Such stewardship organizations wouldn’t be necessary for all data sets—but certainly for scraped data that could contain biometric or personally identifiable information or intellectual property.

1. MNIST – One of the popular deep learning datasets of handwritten digits which consists of sixty thousand training set examples, and ten thousand test set examples. The time spent in data pre ...

State and local governments depend on federal data for everything from community planning to disaster response. What happens if it goes away?

But AI is not only about large data sets, and research in “small data” approaches has grown extensively over the past decade—with so-called transfer learning as an especially promising example.

Data distillation, which works for designing soft-labeled examples for neural networks, also has a major disadvantage: it requires you to start with a giant data set in order to shrink it down to ...