Machine learning predicts patients in need of advanced depression care Health Data ManagementUsing data from a statewide health information exchange, researchers have created machine learning algorithms that are able to identify patients who…
Machine Learning Predictions for 2020 TechiExpert.comMachine learning (ML), an application of computer programs, makes algorithms and is capable of making decisions and generating outputs without any human …
DiUS gets AWS machine learning competency ARNnetSolutions provider DiUS has become the first partner in Australia and New Zealand to obtain the Amazon Web Services (AWS) machine learning competency, …
Machine learning for Shariah-compliant financial services The Malaysian ReserveYOUR former school mates are your Facebook friends. A few of you get together for a drink. One of your friends snaps a photo on his smartphone camera and …
Machine learning enables prediction of early renal disease dvm360Powered by artificial intelligence and machine learning, RenalTech is a new reference test from Antech Diagnostics and Imaging that enables veterinary …
Top 9 APIs In Machine Learning & Artificial Intelligence Analytics India MagazineAPIs are a set of tools and protocols used for building software and models. There are various types of APIs like Local API, Web API,
Artificial intelligence and machine learning are the next frontiers for ETFs, says industry pro CNBCArtificial intelligence and machine learning could be the next frontier for ETFs to outperform the market.
HR News: Machine Learning Can Reduce Turnover HR Exchange NetworkIn this edition of the HR News Beat: A new study from Harvard Business Review says using machine learning on certain types of data can predict who will leave …
Constraints on the Cloud: why we need machine learning at the Edge DatacenterDynamicsML has heavy processing demands, but the communications overheads mean we ultimately need it to happen at the very edge: on smartphones.
Machine Learning Predicts Bleeding During Coronary Surgery HealthITAnalytics.comMachine learning tools were able to predict the likelihood that a patient would bleed during or after heart surgery, which could help reduce costs and prevent …
