内容简介

书名:Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
出版社:Springer
作者:Aboul Ella Hassanien, Ashraf Darwish
出版年份:2021
电子书格式: pdf
简介:Dive into the intersection of machine learning and big data analytics with this comprehensive guide. “Machine Learning and Big Data Analytics Paradigms” provides in-depth analysis, practical applications, and a critical examination of the challenges in this rapidly evolving field. From foundational concepts to cutting-edge techniques, explore the power of these technologies for problem-solving across various domains. Discover how machine learning algorithms are transforming big data analysis and gain valuable insights into addressing emerging challenges. This Springer publication is essential for researchers, professionals, and students.
ISBN:9783030593377, 30305

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