A machine-learning algorithm demonstrated the capability to process data that exceeds a computer's available memory by identifying a massive data set's key features and dividing them into ...

BlueVine used AWS machine learning to automatically extract text and data from documents, to help automate the loan application process.

Method enables machine learning from unwieldy data sets Preserving variety in subsets of unmanageably large data sets should aid machine learning Date: December 16, 2016 Source: Massachusetts ...

Want to get started in machine learning? Google has you covered with high-quality data sets, both big and small ...

Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety.

To explore LO-shot learning with the kNN algorithm, the researchers created a series of tiny synthetic data sets and carefully engineered their soft labels.

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data ...

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.