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 ...

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.

Here’s a look at 10 top machine learning and data science companies developing ground-breaking technology for data scientists and machine learning developers.

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.

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models.

Check out these best practices that are designed to help your data preparation initiatives in machine learning.

Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.