March 5, 2024, 2:44 p.m. | Ji Fang, Vincent CS Lee, Hao Ji, Haiyan Wang

cs.LG updates on arXiv.org arxiv.org

arXiv:2204.00961v3 Announce Type: replace
Abstract: The utilization of digital health has increased recently, and these services provide extensive guidance to encourage users to exercise frequently by setting daily exercise goals to promote a healthy lifestyle. These comprehensive guides evolved from the consideration of various personalized behavioral factors. Nevertheless, existing approaches frequently neglect the users dynamic behavior and the changing in their health conditions. This study aims to fill this gap by developing a machine learning algorithm that dynamically updates auto-suggestion …

abstract arxiv cs.lg daily digital digital health exercise goal setting guidance guides health lifestyle machine machine learning math.oc personalized promote services type

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Sr. VBI Developer II

@ Atos | Texas, US, 75093

Wealth Management - Data Analytics Intern/Co-op Fall 2024

@ Scotiabank | Toronto, ON, CA