How Do Machine Learning Models Learn? An Overview from Data Preparation to Training, Evaluation, and Prediction

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," and "overfitting."Even if you look up the meaning of each, if you don't ...

Taking the 'Next Step' in Predictive Modeling with an Introduction to Causal Machine Learning

After finishing an introductory book on machine learning, many people likely find themselves stuck, wondering, 'I can achieve ...
BMJ Open

Machine learning-based prediction models for recurrent stroke after an index stroke: a scoping review protocol

Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...
BIOENGINEER

Machine Learning Shows Moderate Discrimination Predicting 30-Day Cerebral Infarction After TIA

In a retrospective study of 270 patients with DWI-negative transient ischemic attack, machine learning models showed moderate ...
CNET

From Tea Leaves to AI: Why Today’s High-Tech Predictions Are So Dangerous

Guest column: For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency is the same. Editors’ note: Welcome to CNET’s new series of ...