Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
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Beschreibung
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 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.
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 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.
Presents 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 that can learn from the data in their environment and then make predictions and take actions when confronted with a new situation
Autor*in
Aboul Ella Hassanien
Themen in »Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges«
Machine Learning and Data Mining Applications Deep Learning Techniques and applications Deep Learning for Big Data Analytics Optimization for machine learning Optimization for Deep Learning