While many machine learning experts and data scientists are likely familiar with it at this point, the existence of techniques such as transfer learning does not seem to have reached the awareness ...

Using data from historic ship measurements and Argo floats, Georgia Tech researchers introduced a machine learning technique that improves assessment and analysis of the ocean's declining ...

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 ...

Running experiments with your data provides a definitive way to calculate its quality and performance, and you can automate the measurement of your data quality itself.

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

The study introduces a unique approach that combines machine learning algorithms, such as XGBoost and LightGBM, with ICESat-2 satellite data and multispectral imagery from Landsat-8 and Sentinel-2.

This can happen even when the sparse data might be more predictive. Best machine learning model for sparse data To help combat these issues that arise with sparse data machine learning, there are a ...

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

Researchers have developed a machine learning model that could better measure baseball players' and teams' short- and long-term performance, compared to existing statistical analysis methods for ...