Visual Studio Magazine

Data Prep for Machine Learning: Missing Data

Turning his attention to the extremely time-consuming task of machine learning data preparation, Dr. James McCaffrey of Microsoft Research explains how to examine data files and how to identify and ...
News Medical

Revolutionizing missing data management in EHRs with machine learning

Researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital have conducted ...
9to5google

Google’s Simple ML for Sheets add-on can predict missing and spot abnormal values

Google today announced an add-on for Google Sheets that applies “Simple ML” to your data that was built by the TensorFlow team to help make “machine learning accessible to all.” Anyone, even people ...
EurekAlert!

Machine learning outperforms traditional statistical methods in addressing missing data in electronic health records

Researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital have conducted ...
STAT

Machine learning for clinical decision-making: pay attention to what you don’t see

Even as machine learning and artificial intelligence are drawing substantial attention in health care, overzealousness for these technologies has created an environment in which other critical aspects ...
Forbes

“The Alignment Problem”, Linking Machine Learning And Human Values

I’ve finished reading “The Alignment Problem” (ISBN: 9780393635829), by Brian Christian. As the subtitle states, it’s an attempt to discuss fuzzier aspects of human value with the growing relevance of ...