Machine Learning for Prevention
Eric discusses a novel approach to utilizing machine learning in social networks to identify and prevent suicide. By collecting detailed relationship data through surveys, they aim to analyze thousands of connections without relying on traditional statistical models. This data-driven method allows for a more nuanced understanding of communication patterns regarding suicidal thoughts, moving beyond simplistic linear relationships.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
A Social Scientist’s Perspective on AI with Eric Rice - #511
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