Revisiting Benchmarking of Tabular Reinforcement Learning Methods
publishing my previous post on benchmarking tabular reinforcement learning (RL) methods, I couldn’t shake the feeling that something wasn’t quite...
Learning
A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs
Patient demographics and baseline characteristicsIn this study, we initially included 4344 patients from the Bioreg dataset. After applying inclusion criteria...
How AI and machine learning are transforming drug discovery
Credit: Shutterstock AI is revolutionizing drug discovery with its ability to analyze vast datasets. Particularly beneficial in the early drug...
Integrating deep learning and machine learning for ceramic artifact classification and market value prediction
This study adopts a three-stage pipeline: dataset preparation, ceramic classification, and price prediction, as shown in Fig. 1. The stages...
Should organisations commit to on-demand learning?
There is no right or wrong way to upskill the workforce, however, on-demand learning has the power to reinvigorate organisational...
A framework to evaluate machine learning crystal stability predictions
Bergerhoff, G., Hundt, R., Sievers, R. & Brown, I. D. The inorganic crystal structure data base. J. Chem. Inf. Comput....
