April 5, 2024, 4:43 a.m. | Paschalis Bizopoulos, Dimitrios Koutsouris

cs.LG updates on arXiv.org arxiv.org

arXiv:1902.11122v5 Announce Type: replace-cross
Abstract: The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep learning has emerged as a more accurate and effective technology in a wide range of medical problems such as diagnosis, prediction and intervention. Deep learning is a representation learning method that consists of layers that transform the data …

abstract arxiv big big data cs.ai cs.cv cs.lg data deep learning expert insights medical medical field physicians systems tasks technology 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

Associate Data Engineer

@ Nominet | Oxford/ Hybrid, GB

Data Science Senior Associate

@ JPMorgan Chase & Co. | Bengaluru, Karnataka, India