Heart disease continues to be a major global cause of death, making the development of reliable prediction models necessary to enable early detection and treatment. Using machine learning to improve ...

Who: Colin Raffel, 37, associate professor of computer science, University of Toronto, and associate research director at the Vector Institute Known for: Researching how to make machine learning ...

Predictive analytics is a category of advanced data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling, data ...

Machine learning (ML) and deep learning (DL) techniques are adopted in IDS systems, showing potential in efficiently detecting intruders across networks. The paper explores the latest trends and ...

Computer scientist, author, and machine learning specialist Professor Lorien Pratt is co-founder and Chief Scientist of decision intelligence software provider Quantellia LLC. This self-described ...

The XGBoost model is a decision tree-based machine learning algorithm that is widely used in data science. By using an internal algorithm that combines the results from multiple individual trees, we ...

Supervised machine learning algorithms applied classification methods, such as Decision Tree (DT), SVM, KNN and NN have been compared to estimate the performance for each training model.