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 ...

Machine learning is a type of data analysis that allows computers to draw inferences from large sets of data, by building predictive models through repeated sampling of data.

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

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.

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

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

Discover the power of machine learning to analyze and make predictions on huge data, improve decision-making and enhance automation processes.

Results Machine learning models trained on tabular data exhibit a 76% accuracy for the random forest model at predicting relapse evaluated with a 10-fold cross-validation (the model was trained 10 ...