Robotics & Machine Learning Daily News2024,Issue(Jan.8) :23-24.

Recent Research from Jamia Millia Islamia Highlight Findings in Machine Learning (Comparative Studies of Different Machine Learning Algorithms In Predicting the Compressive Strength of Geopolymer Concrete)

Robotics & Machine Learning Daily News2024,Issue(Jan.8) :23-24.

Recent Research from Jamia Millia Islamia Highlight Findings in Machine Learning (Comparative Studies of Different Machine Learning Algorithms In Predicting the Compressive Strength of Geopolymer Concrete)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting out of New Delhi,India, by NewsRx editors, research stated, “The objective of this work is to determine the compressivestrength of geopolymer concrete utilizing four distinct machine learning approaches. These techniques areknown as gradient boosting machine (GBM), generalized linear model (GLM), extremely randomized trees(XRT), and deep learning (DL).”

Key words

New Delhi/India/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Jamia Millia Islamia

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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