阴郁
发表于 2025-3-26 22:58:08
2197-6503 ne Learning.Exhibits various technologies to create systems .This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and a
ATOPY
发表于 2025-3-27 01:36:47
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有节制
发表于 2025-3-27 07:30:29
Predicting Student Retention Among a Homogeneous Population Using Data Mining to reduce the performance bias of machine learning algorithms. Our study reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. The effectiveness of the algorithms further increases with the use of college performance data.
斥责
发表于 2025-3-27 12:21:00
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expdient
发表于 2025-3-27 15:36:57
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HEAVY
发表于 2025-3-27 20:29:38
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges978-3-030-59338-4Series ISSN 2197-6503 Series E-ISSN 2197-6511
Apraxia
发表于 2025-3-28 01:16:35
Aboul Ella Hassanien,Ashraf DarwishPresents recent research in Machine Learning and Big Data Analytics.Provides an Analysis, Applications, and Challenges of Big Data and Machine Learning.Exhibits various technologies to create systems
万神殿
发表于 2025-3-28 04:10:23
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刚毅
发表于 2025-3-28 06:55:47
Book 2021es including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications. .
不能强迫我
发表于 2025-3-28 14:09:56
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