Machine Learning

Machine learning is an area of artificial intelligence (AI) that enables computers to learn by recognizing patterns, without being programmed with explicit instructions. It is a powerful technique widely used in data science, which helps computers to analyze large datasets and identify patterns to make decisions. Machine learning has the potential to revolutionize many areas of industry, from improving healthcare and modernizing transportation systems to supporting precision agriculture and automating factories. It is being used in a variety of applications, such as autonomous vehicles, virtual assistants, facial recognition and online recommendation systems. Machine learning can help companies gain insights from their data, optimize processes and maximize efficiencies.

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Related Articles

9 article(s) found

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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