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Customer Churn Prediction Using Machine Learning
Read and explore →Meghali Das
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Read and explore →Purnima Pal
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Read and explore →Garima Srivastava
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Read and explore →Explainable Artificial Intelligence and sustainable computing in Machine Learning
Read and explore →Abnormality Classifications Using Machine Learning
Read and explore →Introduction
Read and explore →Artificial Intelligence and Machine Learning Visuals and Publishing to the Power BI Service
Read and explore →Ethics in Machine Learning and Artificial Intelligence
Read and explore →Cheng-Chu Lin
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Read and explore →Ibnu Siswanto
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Read and explore →Innovations in Online Education: What Works?
Marcia C. Linn presents “Innovations in Online Education: What Works?” Marcia C. Linn is a professor at the University of California, Berkeley, and a leading researcher in the use of technology for teaching mathematics and science. Linn's talk on "Innovati
Read and explore →Marcia C. Linn
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Read and explore →INNOVATION TRAINING AND DEVELOPMENT TECHNOLOGIES FOR MANAGERIAL PERSONNEL
Urgency of the research. Implementation of the innovation training and development technologies is the basis for the effective human resources use and their effectiveness increasing. Target setting. Interest in the professionalization process of managerial sta
Read and explore →Yuriy Safonov
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Read and explore →Y. I. Maslennikov
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Read and explore →Viktoriia I. Borshch
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Read and explore →Implementing educational technology in Higher Education Institutions: A review of technologies, stakeholder perceptions, frameworks and metrics
Abstract In a world driven by constant change and innovation, Higher Education Institutions (HEIs) are undergoing a rapid transformation, often driven by external factors such as emerging technologies. One of the key drivers affecting the design and developmen
Read and explore →Ritesh Chugh
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