The go-to for data scientists seeking huge datasets. Thousands of datasets span themes from AI to finance to health, and they ...

With machine learning on the uptick we've done the leg work for you and assembled a list of top public domain datasets as ranked by Github. The full list, along with several other lists of ...

But these AI and machine learning datasets — like the humans that designed them — aren’t without their flaws. Studies show that biases and mistakes color many of the libraries used to train ...

Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and ...

Datasets for Deep Learning 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 ...

WiMi's image classification system based on deep learning and machine learning models has a wide range of practical application scenarios, and it has a wide range of application prospects in ...

If the datasets used to train machine-learning models contain biased data, it is likely the system could exhibit that same bias when it makes decisions in practice.

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.