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How ensembles can reduce machine learning’s carbon footprint
( go to the article → https://dataconomy.com/2020/03/how-ensembles-can-reduce-machine-learnings-carbon-footprint/ )
Commercial and industrial applications of artificial intelligence and machine learning are unlocking economic opportunities, transforming the way we do business, and even helping to solve complex social and environmental problems. In fact, generative applications of this technology have become tools for environmental sustainability. With machine learning’s capability to analyze and The post How ensembles can reduce machine learning’s carbon footprint appeared first on Dataconomy.
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