Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges(Aboul Ella Hassanien, Ashraf Darwish)(Springer 2021)

  • 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
  • 下载地址(点击下载):
    隐藏内容
    本内容登录后免费查看
声明:本站所有文章,如无特殊说明或标注,均为本站原创发布。任何个人或组织,在未征得本站同意时,禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益,可联系我们进行处理。