What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Due to the need for computing models that can process large quantities of data efficiently and with high throughput in many state-of-the-art machine learning algorithms, the processing-in-memory (PIM) ...

Teachable Machine (Image credit: Google) What are the best Teachable Machine features? Teachable Machine is very simple to use and clearly shows how the AI has learned the differences between the ...

Q-learning is arguably one of the most applied representative reinforcement learning approaches and one of the off-policy strategies. Since the emergence of Q-learning, many studies have described its ...

Top Machine Learning Algorithms for HR Analytics Implementing machine learning in HR requires strategic alignment between your organizational needs and algorithmic capabilities. While numerous ...

Discover essential machine learning insights for success, from mastering fundamentals to aligning with business goals.

The presented machine learning model based on serial ECGs with normal sinus rhythm can predict new‐onset atrial fibrillation more accurately than a machine learning model based on a single ECG.

We hypothesized that analysis of serial ECGs could predict new‐onset atrial fibrillation (AF) more accurately than analysis of a single ECG by detecting the subtle cardiac remodeling that occurs ...