Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
News Medical

Combining machine learning with statistical methods can provide accurate models for disease risk prediction

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
techtimes

The Role of Assumptions in Statistical Model Selection

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Pengwei Zhu Highlights the Role of Deep Statistical Machine Learning in Asthma Research and Target Discovery

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to balance transaction ...
Medical Xpress

Statistical machine learning can find unknown factors that cause disease

A new method can now find previously unknown factors that underlie disease by using statistical machine learning to sort through mountains of complex biological data. This flagship method, called ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...