David Ussery discusses using Machine Learning methods to predict the pathogenicity of a bacterial infection based on genome ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

Experimental data from a patent were analyzed to learn about the small molecule additives that were most effective in mitigating the degradation of polyethylene terephthalate. Two sets of molecular ...

Picking the right artificial intelligence and machine learning book depends on your current knowledge and what you want to ...

Master these top AI skills to stay competitive in your career. From Python to ethics, uncover what it takes to succeed in the age of AI.

Linear Tree Classification. ... Explainable boosted linear regression for time series forecasting. Igor Ilic, Berk Gorgulu, Mucahit Cevik, ... A python library to build Model Trees with Linear Models ...

The diagram in Figure 2 gives you a rough idea of support vector regression for a scenario where there is just one predictor variable x. Each dot is a training data item. The red line is the linear ...

For example, a review of studies on machine learning-based models showed that 125 of 152 studies published in general medical journals did not include a sample size justification. 9, 10 A similar ...

This study explores climate patterns in the Philippines using data collected from PAGASA. The data is trained and tested with a machine learning model to predict wind speed. This research resulted in ...