Robotics & Machine Learning Daily News2024,Issue(Jan.8) :57-58.

New Machine Learning Study Results from British Geological SurveyDescribed (Predictive Geochemical Mapping Using Machine Learning In Western Kenya)

Robotics & Machine Learning Daily News2024,Issue(Jan.8) :57-58.

New Machine Learning Study Results from British Geological SurveyDescribed (Predictive Geochemical Mapping Using Machine Learning In Western Kenya)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting out of Nottingham, United Kingdom, by NewsRx editors, research stated, “Digital soil mappingtechniques represent a cost-effective method for obtaining detailed information regarding the spatialdistribution of chemical elements in soils. Machine learning (ML) algorithms using random forest (RF)models have been developed for classification, pattern recognition and regression tasks, they are capableof modelling non-linear relationships using a range of datasets, identifying hierarchical relationships, anddetermining the importance of predictor variables.”

Key words

Nottingham/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning/British Geological Survey

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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