Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
In this contributed article, Vishal Nigam, Senior Manager of Analytics (AI and ML) and Mudit Jain, Analytics Manager at Guavus, discuss how adaptive AI could outpace traditional machine learning (ML) ...
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Machine learning model outperforms traditional methods in myelofibrosis risk stratification
A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard statistical models in identifying and stratifying transplant ...
Many small businesses use AI tools every day, but how do they actually work? And where does all that “knowledge” come from?..
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry challenges like the "patent cliff" and high clinical failure rates. AI-driven ...
Every day, meteorologist Hannah Wangari takes the free graphs and maps produced by the five forecasting models she subscribes to and interprets what she sees. “What’s the likelihood of rain in ...
Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...
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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 ...
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