Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Hosted on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results