Machine Learning Technologies And Applications


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Advanced Machine Learning Technologies and Applications


Advanced Machine Learning Technologies and Applications

Author: Aboul-Ella Hassanien

language: en

Publisher: Springer

Release Date: 2021-03-06


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This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE). The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.

Machine Learning Technologies and Applications


Machine Learning Technologies and Applications

Author: C. Kiran Mai

language: en

Publisher: Springer Nature

Release Date: 2021-03-15


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This book comprises the best deliberations with the theme “Machine Learning Technologies and Applications” in the “International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020),” organized by the Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology. The book provides insights into the recent trends and developments in the field of computer science with a special focus on the machine learning and big data. The book focuses on advanced topics in artificial intelligence, machine learning, data mining and big data computing, cloud computing, Internet of things, distributed computing and smart systems.

Applications of Machine Learning and Artificial Intelligence in Education


Applications of Machine Learning and Artificial Intelligence in Education

Author: Seda Khadimally

language: en

Publisher: Information Science Reference

Release Date: 2021


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Focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Topics covered include data coding and social networking technology.