IEEE

An Efficient Checkpointing System for Large Machine Learning Model Training

Abstract: Checkpointing is one of the fundamental techniques to resume training while system fails. It has been generally used in various domains, such as high-performance computing (HPC) and machine ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
InfoWorld

How to choose the best LLM using R and vitals

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
The Lancet

Identification and validation of an explainable early-stage chronic kidney disease prediction model: a multicenter retrospective study

aSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, China bJiangsu Province Engineering Research Center of TCM Intelligence Health Service, ...