The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Consider a machine learning model that classifies images. If your dataset is composed of 100×100-pixel images, then your problem space has 10,000 features, one per pixel.

Machine Learning: A field of artificial intelligence, focused on the creation of algorithms, models and systems to perform tasks and generally to improve upon themselves in performing that task ...

In 2016, a researcher from the University of California, Irvine, highlighted the black-box nature of complex machine-learning models.He demonstrated how a student’s highly accurate algorithm for ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Peer-Reviewed Publication ...