Machine Learning

Machine learning is a branch of artificial intelligence that uses algorithms to enable computers to learn from data and improve from experience without being explicitly programmed. It is used to process large amounts of data and find patterns and trends for analysis. Machine learning is used in a wide range of Artificial Intelligence (AI) applications such as image recognition, autonomous driving, voice recognition, natural language processing, and financial forecasting. It is a major driving force behind many of the AI technologies that exist today, and its importance is expected to increase in the foreseeable future.

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Analyzing Students’ Opinions about their Learning Environments and Study Approaches with Bayesian Modeling

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Effect of a Waterproof Device in the Noninvasive Ventilation Circuit on patient-machine Synchronization

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Appropriate Conservation Machinery for Mungbean Cultivation in the Southern Region of Bangladesh

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Study of The ID3 and C4.5 Learning Algorithms

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Statistical Analysis on the Influence of Flipped Classroom Teaching on Students’ Learning Effect During the Coronavirus Disease 2019 Epidemic

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Critical Review of Teaching and Learning Methodologies for Learners with Special Educational Needs in the 21st Century and Beyond

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Success Driven: Student Motivation Actions in Teaching and Learning

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Comparative Study of Deep Learning Techniques for Detecting Corn Plant Leaf Diseases Using Transfer Learning

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Learning and Memory in an Animal Model of Longevity: The Ames Dwarf Mice

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