At the Mount Sinai Health System we have successfully translated many algorithms from concept to testing and clinical care, ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

Topological machine learning recently started to emerge as a field at the interface of topological data analysis (TDA) and machine learning. It is driven by improvements of computational methods, ...

Support Vector Machines (SVM) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis. The SVM algorithm developed by ...