Bone Marrow Transplantation - Application of machine learning algorithms for clinical predictive modeling: a data-mining approach in SCT Skip to main content Thank you for visiting nature.com.

TikTok is preparing to launch a standalone app for U.S. users that is expected to operate on a separate algorithm and data ...

A clustering problem is an unsupervised learning problem that asks the model to find groups of similar data points. The most popular algorithm is K-Means Clustering; others include Mean-Shift ...

PhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...

Big data can help but only if we scrutinize the algorithms instead of unquestionably following them. * Correction, Sept. 16, 2016: This article originally misstated that high rejection rates are ...

Java programmers use data structures to store and organize data, and we use algorithms to manipulate the data in those structures. The more you understand about data structures and algorithms, and ...

On July 6, 2021, the governor of Colorado signed Senate Bill 21-169 prohibiting insurers’ use of external consumer data and information sources ...

And some algorithms are developed by building on another “pretrained” one. Researchers at the University of Chicago recently showed how one compromised AI model might affect many others in ...

In short, data is everywhere, including in algorithms for college admissions. Follow a College Application Checklist High school students can use this college application checklist to stay on task ...